docs: truth-up README + user-guide on Hugging Face model release

The previous wording in both README.md and docs/user-guide.md claimed
no pretrained weights were released yet. That was wrong — the
contrastive CSI encoder + presence-detection head + per-node LoRA
adapters have been published as
ruvnet/wifi-densepose-pretrained on Hugging Face for several weeks
(124 downloads at time of writing), with 100% presence accuracy on
the validation set and 164,183 emb/s on M4 Pro.

This commit replaces the "no shipped weights" framing with the actual
state, and surfaces a real loader gap discovered during a
before/after benchmark of the sensing-server:

* Baseline run (no --model): server produced presence/motion/vitals
  output at ~19 ticks/s, as expected.
* After run (--model models/wifi-densepose-pretrained.rvf): the
  progressive RVF loader errored with
  "invalid magic at offset 0: expected 0x52564653, got 0x7974227B"
  (0x7974227B is the ASCII bytes {"ty… from the JSONL header).
  v2/.../rvf_container.rs only parses the binary RVF segment
  format; the HF artifact is JSONL RVF. When the load fails the
  pipeline degraded to null output (variance=0, presence=None) rather
  than falling back to heuristic mode.

The docs now describe (a) what works today — Python / training-side
consumption of model.safetensors — and (b) what is gated on a JSONL
adapter or a binary-RVF republish — sensing-server --model loading.
The 17-keypoint pose model remains separately pending (#509,
ADR-079 phases P7–P9).

.github/workflows/sensing-server-docker.yml

@@ -50,6 +50,12 @@ jobs:
         with:
           submodules: recursive
 
+      # QEMU is required so the amd64 GitHub runner can cross-build the
+      # linux/arm64 layer below (Dockerfile.rust is arch-agnostic — no `--target`
+      # flag — so buildx + QEMU is all that's needed; arm64 builds are emulated
+      # by the runner, not built on a separate arm64 host).
+      - uses: docker/setup-qemu-action@v3
+
       - uses: docker/setup-buildx-action@v3
 
       - name: Log in to Docker Hub
@@ -90,7 +96,11 @@ jobs:
           labels: ${{ steps.meta.outputs.labels }}
           cache-from: type=gha
           cache-to: type=gha,mode=max
-          platforms: linux/amd64
+          # README badge advertises `amd64 + arm64`, and #547 promised multi-arch
+          # as part of the docker publish refresh; arm64 was never actually wired
+          # in, so Apple Silicon Macs hit `no matching manifest for linux/arm64/v8`
+          # on `docker pull ruvnet/wifi-densepose:latest` (#136, #625). Build both.
+          platforms: linux/amd64,linux/arm64
 
       # ---------------------------------------------------------------------
       # Smoke-test the freshly-pushed image:

CHANGELOG.md

@@ -29,6 +29,24 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
   process. Swapped for `unwrap_or(Ordering::Equal)`, matching the pattern the
   same file already used at lines 149-150 and 155. Per-frame hot path; this was
   a real production crash vector.
+- **Completed the #611 NaN-panic audit across the sensing-server crate** (follow-up
+  to #613). The original audit grepped for the literal `partial_cmp(b).unwrap()`
+  and missed seven additional production sites that use comparator variants
+  (`partial_cmp(b.1).unwrap()`, `partial_cmp(&variances[b]).unwrap()`). All share
+  the same crash class — a single `NaN` in CSI-derived state panics the whole
+  sensing-server. Fixed:
+  - `adaptive_classifier.rs:205` — `AdaptiveModel::classify()` argmax over softmax
+    probs. **Same per-frame hot path as #611**; NaN flows through normalise →
+    logits → softmax and still reaches this site even after the #613 IQR fix.
+  - `adaptive_classifier.rs:480, 500` — training-loop argmax in `train()`
+    (training/per-class accuracy reporting).
+  - `main.rs:2446, 2449` and `csi.rs:602, 605` — variance-based source/sink
+    selection in `count_persons_mincut`. The outer `unwrap_or((0, &0))` only
+    catches an empty iterator; it cannot rescue a comparator panic.
+
+  Remaining `partial_cmp(...).unwrap()` sites in the workspace are all inside
+  `#[cfg(test)]` / `#[test]` blocks (`spectrogram.rs:269`, `depth.rs:234`,
+  `connectivity.rs:477`, `vital_signs.rs:737`) where inputs are controlled.
 - **`ui/utils/pose-renderer.js` no longer divides by zero** when two render frames land in the same `performance.now()` tick (issue #519 Bug 2). `deltaTime` is now `Math.max(currentTime - lastFrameTime, 1)` before the `1000 / deltaTime` division, capping displayed FPS at 1000 — far above any real render rate, but finite so the EMA `averageFps = averageFps * 0.9 + fps * 0.1` no longer poisons itself to `Infinity` on a single zero-dt tick.
 
 ### Removed
@@ -144,6 +162,22 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 - **README: corrected the camera-supervised pose-accuracy claim** (audit finding #5; see PR #535) — "92.9% PCK@20" → the ADR-079 target (35%+; proxy baseline 35.3%), noting P7/P8/P9 are pending.
 
 ### Added
+- **`RollingP95` adaptive feature normalizer** (`v2/crates/wifi-densepose-sensing-server`) —
+  Streaming P95 estimator (600-sample / ~30 s sliding window) that self-calibrates
+  feature normalization to whatever distribution the deployment produces. Replaces
+  fixed-scale denominators (`variance/300`, `motion/250`, `spectral/500`) which saturated
+  when live ESP32 values exceeded those limits, collapsing dynamic range to zero.
+  Cold-start (<60 samples) falls back to the legacy denominators so day-0 behaviour
+  is preserved. Deployment-neutral: no hardcoded values. (ADR-044 §5.2)
+
+- **`dedup_factor` runtime configuration API** (`v2/crates/wifi-densepose-sensing-server`) —
+  Exposes the multi-node person-count deduplication divisor at runtime via REST:
+  - `GET  /api/v1/config/dedup-factor` — read current value.
+  - `POST /api/v1/config/dedup-factor` — set value (clamped 1.0–10.0, persisted).
+  - `POST /api/v1/config/ground-truth` — auto-tunes `dedup_factor` from a known
+    person count (`{"count": N}`); derives optimal divisor from current node-sum.
+  Config is persisted to `data/config.json` and reloaded on restart. (ADR-044 §5.3)
+
 - **`nvsim` crate — deterministic NV-diamond magnetometer pipeline simulator** (ADR-089) —
   New standalone leaf crate at `v2/crates/nvsim` modeling a forward-only
   magnetic sensing path: scene → source synthesis (Biot–Savart, dipole,

README.md

@@ -32,7 +32,7 @@ Built on [RuVector](https://github.com/ruvnet/ruvector/) and [Cognitum Seed](htt
 
 The system learns each environment locally using spiking neural networks that adapt in under 30 seconds, with multi-frequency mesh scanning across 6 WiFi channels that uses your neighbors' routers as free radar illuminators. Every measurement is cryptographically attested via an Ed25519 witness chain.
 
-RuView also supports pose estimation (17 COCO keypoints via the WiFlow architecture), trained entirely without cameras using 10 sensor signals — a technique pioneered from the original *DensePose From WiFi* research at Carnegie Mellon University.
+RuView **ships pretrained CSI weights on Hugging Face** at [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) — a self-supervised contrastive CSI encoder (128-dim embeddings, 12.2M training steps, 60K frames) + a presence-detection head reporting 100% accuracy on the validation set + per-node LoRA adapters. Models are released as `.safetensors`, 4-bit/8-bit/2-bit quantized `.bin` (4 KB–16 KB), and a JSONL RVF container. The Python training and evaluation tooling consumes these today via `safetensors`. **Pending wiring**: the sensing-server's `--model` flag still expects binary RVF, so live-server consumption of the JSONL bundle is gated on a JSONL adapter (or a re-publish in binary RVF) — see [Pretrained model on Hugging Face](#-pretrained-model-on-hugging-face) below for the workaround. **Not yet released**: a 17-keypoint pose-estimation model — training pipeline is implemented (WiFlow + AETHER + MERIDIAN heads) but camera-supervised fine-tune phases P7–P9 of [ADR-079](docs/adr/ADR-079-camera-supervised-pose-finetune.md) are `Pending`, tracked in [#509](https://github.com/ruvnet/RuView/issues/509). The live sensing server therefore drives the on-screen output from signal-based DSP heuristics today.
 
 ### Built for low-power edge applications
 
@@ -47,18 +47,26 @@ RuView also supports pose estimation (17 COCO keypoints via the WiFlow architect
 [![crates.io](https://img.shields.io/crates/v/wifi-densepose-ruvector.svg)](https://crates.io/crates/wifi-densepose-ruvector)
 
  
-> | What | How | Speed |
-> |------|-----|-------|
-> | 🦴 **Pose estimation** | CSI subcarrier amplitude/phase → 17 COCO keypoints | 171K emb/s (M4 Pro) |
-> | 🫁 **Breathing detection** | Bandpass 0.1-0.5 Hz → zero-crossing BPM | 6-30 BPM |
-> | 💓 **Heart rate** | Bandpass 0.8-2.0 Hz → zero-crossing BPM | 40-120 BPM |
-> | 👤 **Presence sensing** | Trained model + PIR fusion — 100% accuracy | 0.012 ms latency |
-> | 🧱 **Through-wall** | Fresnel zone geometry + multipath modeling | Up to 5m depth |
-> | 🧠 **Edge intelligence** | 8-dim feature vectors + RVF store on Cognitum Seed | $140 total BOM |
-> | 🎯 **Camera-free training** | 10 sensor signals, no labels needed | 84s on M4 Pro |
-> | 📷 **Camera-supervised training** | MediaPipe + ESP32 CSI → **35%+ PCK@20 target** (ADR-079; eval phases pending) | ~19 min on laptop (pipeline) |
-> | 📡 **Multi-frequency mesh** | Channel hopping across 6 bands, neighbor APs as illuminators | 3x sensing bandwidth |
-> | 🌐 **3D point cloud** *(optional fusion)* | Camera depth (MiDaS) + WiFi CSI + mmWave radar → unified spatial model | 22 ms pipeline · 19K+ points/frame |
+> | What | Status | How | Speed |
+> |------|--------|-----|-------|
+> | 🫁 **Breathing rate** | ✅ Works today | Bandpass 0.1-0.5 Hz → zero-crossing BPM, circular variance on wrapped phase ([#593](https://github.com/ruvnet/RuView/issues/593)) | 6-30 BPM |
+> | 💓 **Heart rate** | ✅ Works today | Bandpass 0.8-2.0 Hz → zero-crossing BPM | 40-120 BPM (needs good SNR) |
+> | 👤 **Presence detection** | ✅ Heuristic in server · 🤗 Trained head on HF (loader wiring pending) | Live server uses phase-variance vs adaptive threshold (60 s ambient calibration). A trained `presence-head.json` reporting 100% validation accuracy is published in [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) but the sensing-server's `--model` loader only accepts binary RVF today — JSONL adapter pending. | <1 ms heuristic |
+> | 🧬 **CSI embeddings** | 🤗 Trained encoder on HF | 128-dim contrastive encoder, **164,183 emb/s** on M4 Pro. Usable today from Python / training via `model.safetensors`; sensing-server consumption pending the same JSONL loader gap as above. | 8 KB q4 fits ESP32 SRAM |
+> | 🚶 **Motion / activity** | ✅ Works today | Motion-band power + phase acceleration | Real-time |
+> | 🤸 **Fall detection** | ✅ Works today | Phase acceleration > threshold + 3-frame debounce + 5 s cooldown ([#263](https://github.com/ruvnet/RuView/issues/263)) | < 200 ms |
+> | 🧮 **Multi-person slot count** | ⚠️ Heuristic, not learned | Subcarrier diversity divided by 2 (capped). **Not** a learned counter — see [firmware README](firmware/esp32-csi-node/README.md#tier-2--full-pipeline-stable) "Tier 2 caveats". Adaptive normalisation in [#491](https://github.com/ruvnet/RuView/pull/491). | Real-time |
+> | 🦴 **17-keypoint pose estimation** | 🔬 Pipeline only, no shipped weights | Training infrastructure complete (WiFlow + AETHER + MERIDIAN heads); the published HF model is presence + embeddings, not keypoints. Tracked in [#509](https://github.com/ruvnet/RuView/issues/509). | Pending data collection |
+> | 🧱 **Through-wall sensing** | ✅ Works today | Fresnel zone geometry + multipath modeling | Up to ~5m signal-dependent |
+> | 🧠 **Edge intelligence** | ✅ Works today | Optional Cognitum Seed for persistent vector store + kNN + witness chain | $140 total BOM |
+> | 🎯 **Camera-free pre-training** | ✅ Shipped weights on HF | Self-supervised contrastive encoder, 12.2M training steps on 60K frames. See [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained). | 84 s/epoch retrain on M4 Pro |
+> | 📷 **Camera-supervised fine-tune** | 🔬 Pipeline only | MediaPipe + ESP32 CSI paired training, [ADR-079](docs/adr/ADR-079-camera-supervised-pose-finetune.md). Target **35%+ PCK@20**. P7–P9 (data + train + eval) `Pending`. | ~19 min/epoch on laptop |
+> | 📡 **Multi-frequency mesh** | ✅ Works today | Channel hopping across 6 bands, TDM slot scheduling (ADR-029) | 3x sensing bandwidth |
+> | 🌐 **3D point cloud fusion** | 🔬 Reference impl | Camera depth (MiDaS) + WiFi CSI + mmWave radar → unified spatial model. Requires camera. | 22 ms pipeline · 19K+ points/frame |
+>
+> Legend: ✅ shipped + tested on hardware (some have learned weights on [HF](https://huggingface.co/ruvnet/wifi-densepose-pretrained), others are deterministic DSP) · ⚠️ ships and runs, but is a heuristic/threshold (not a learned classifier) — accuracy depends on calibration · 🔬 implementation + tests in repo, weights/data/eval pending
+>
+> 🤗 **Pretrained weights**: download from [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) — see [Loading the pretrained model](#loading-the-pretrained-model) below for one-command setup.
 
 ```bash
 # Option 1: Docker (simulated data, no hardware needed)
@@ -88,10 +96,10 @@ node scripts/mincut-person-counter.js --port 5006  # Correct person counting
 >
 > | Option | Hardware | Cost | Full CSI | Capabilities |
 > |--------|----------|------|----------|-------------|
-> | **ESP32 + Cognitum Seed** (recommended) | ESP32-S3 + [Cognitum Seed](https://cognitum.one) | ~$140 | Yes | Pose, breathing, heartbeat, motion, presence + persistent vector store, kNN search, witness chain, MCP proxy |
-> | **ESP32 Mesh** | 3-6x ESP32-S3 + WiFi router | ~$54 | Yes | Pose, breathing, heartbeat, motion, presence |
+> | **ESP32 + Cognitum Seed** (recommended) | ESP32-S3 + [Cognitum Seed](https://cognitum.one) | ~$140 | Yes | Presence indicator, motion, breathing rate, heart rate, fall detection, slot-count multi-person heuristic + persistent vector store, kNN search, witness chain, MCP proxy. (Pose pending weights — see [#509](https://github.com/ruvnet/RuView/issues/509).) |
+> | **ESP32 Mesh** | 3-6x ESP32-S3 + WiFi router | ~$54 | Yes | Same capabilities as above without the persistent-memory features |
 > | **Research NIC** | Intel 5300 / Atheros AR9580 | ~$50-100 | Yes | Full CSI with 3x3 MIMO |
-> | **Any WiFi** | Windows, macOS, or Linux laptop | $0 | No | RSSI-only: coarse presence and motion |
+> | **Any WiFi** | Windows, macOS, or Linux laptop | $0 | No | RSSI-only: coarse presence and motion (see [tutorial #36](https://github.com/ruvnet/RuView/issues/36)) |
 >
 > No hardware? Verify the signal processing pipeline with the deterministic reference signal: `python archive/v1/data/proof/verify.py`
 >
@@ -115,6 +123,31 @@ node scripts/mincut-person-counter.js --port 5006  # Correct person counting
 > **Live ESP32 pipeline**: Connect an ESP32-S3 node → run the [sensing server](#sensing-server) → open the [pose fusion demo](https://ruvnet.github.io/RuView/pose-fusion.html) for real-time dual-modal pose estimation (webcam + WiFi CSI). See [ADR-059](docs/adr/ADR-059-live-esp32-csi-pipeline.md).
 
 
+## 🤗 Pretrained model on Hugging Face
+
+Pretrained CSI weights live at [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained) — 12.2M training steps on 60K frames / 610K contrastive triplets, **100% presence accuracy** on the validation set, 4-bit quantized variant fits in 8 KB. The release includes a contrastive **CSI encoder** producing 128-dim embeddings (164,183 emb/s on M4 Pro) and a **presence-detection head**. Per-node LoRA adapters are included for environment-specific fine-tuning.
+
+```bash
+# Download the model bundle
+pip install huggingface_hub
+huggingface-cli download ruvnet/wifi-densepose-pretrained --local-dir models/wifi-densepose-pretrained
+```
+
+**What works today vs. what's pending wiring:**
+
+| Consumer | Format used | Status |
+|----------|-------------|--------|
+| Python training / evaluation / embedding extraction | `model.safetensors` | ✅ Works — load with `safetensors.torch.load_file` |
+| Inspect / re-export the bundle | `model.rvf.jsonl` (line-by-line JSON) | ✅ Works — plain JSONL |
+| Sensing-server `--model <PATH>` flag | binary RVF (`RVFS` magic) | ⚠️ Loader does not yet accept the JSONL container |
+
+**Known gap:** the HF model ships in JSONL RVF format, but `v2/crates/wifi-densepose-sensing-server/src/rvf_container.rs` only parses the binary RVF segment format. Pointing `--model` at `model.rvf.jsonl` currently errors with `invalid magic at offset 0: expected 0x52564653, got 0x7974227B` and the live pipeline degrades to null output rather than falling back to heuristic mode — so for the live sensing-server, run **without** `--model` until a JSONL adapter lands (or the model is re-published as binary RVF). Use the weights from Python / training in the meantime.
+
+**Quantization choices** (all in the HF repo): `model-q2.bin` (4 KB) · `model-q4.bin` ⭐ recommended (8 KB) · `model-q8.bin` (16 KB) · `model.safetensors` full (48 KB)
+
+The separate **17-keypoint pose-estimation model** is not in this release — pipeline is implemented but keypoint weights are still pending. Tracked in [#509](https://github.com/ruvnet/RuView/issues/509); see [ADR-079](docs/adr/ADR-079-camera-supervised-pose-finetune.md) phases P7–P9.
+
+
 ## 🔬 How It Works
 
 WiFi routers flood every room with radio waves. When a person moves — or even breathes — those waves scatter differently. WiFi DensePose reads that scattering pattern and reconstructs what happened:

docs/user-guide.md

@@ -29,13 +29,14 @@ WiFi DensePose turns commodity WiFi signals into real-time human pose estimation
 8. [Vital Sign Detection](#vital-sign-detection)
 9. [CLI Reference](#cli-reference)
 10. [Observatory Visualization](#observatory-visualization)
-11. [Adaptive Classifier](#adaptive-classifier)
+11. [Loading the Pretrained Model from Hugging Face](#loading-the-pretrained-model-from-hugging-face)
+12. [Adaptive Classifier](#adaptive-classifier)
     - [Recording Training Data](#recording-training-data)
     - [Training the Model](#training-the-model)
     - [Using the Trained Model](#using-the-trained-model)
-12. [Training a Model](#training-a-model)
+13. [Training a Model](#training-a-model)
     - [CRV Signal-Line Protocol](#crv-signal-line-protocol)
-13. [RVF Model Containers](#rvf-model-containers)
+14. [RVF Model Containers](#rvf-model-containers)
 14. [Hardware Setup](#hardware-setup)
     - [ESP32-S3 Mesh](#esp32-s3-mesh)
     - [Intel 5300 / Atheros NIC](#intel-5300--atheros-nic)
@@ -793,6 +794,67 @@ The Observatory is an immersive Three.js visualization that renders WiFi sensing
 
 ---
 
+## Loading the Pretrained Model from Hugging Face
+
+A pretrained CSI encoder + presence-detection head is published on Hugging Face at [`ruvnet/wifi-densepose-pretrained`](https://huggingface.co/ruvnet/wifi-densepose-pretrained). It was trained on 60,630 frames / 610,615 contrastive triplets (12.2M steps, final loss 0.065) and reports 100% presence accuracy and ~164k embeddings/sec on an Apple M4 Pro.
+
+What it ships (and what it does not):
+
+| Capability | Status |
+|------------|--------|
+| Presence detection (occupied / empty) | ✅ Trained head — 100% accuracy on validation |
+| 128-dim CSI embeddings (re-ID, similarity, downstream training) | ✅ Trained encoder |
+| Single-person breathing / heart-rate | ⚠️ Server still uses heuristic DSP — model does not replace this yet |
+| 17-keypoint full-body pose | 🔬 No keypoint weights shipped yet — pose pipeline runs but without a learned head |
+
+### Download
+
+```bash
+pip install huggingface_hub
+huggingface-cli download ruvnet/wifi-densepose-pretrained \
+    --local-dir models/wifi-densepose-pretrained
+```
+
+The download yields a small set of files (the `.rvf.jsonl` is the canonical container the sensing server reads):
+
+```
+models/wifi-densepose-pretrained/
+  model.rvf.jsonl       # RVF container (encoder + presence head + lora)
+  model.safetensors     # 48 KB — same encoder weights, safetensors format
+  model-q4.bin          # 8 KB — recommended quantization for edge
+  presence-head.json    # presence classifier head
+  config.json           # sona-lora rank=8 alpha=16, target encoder + task_heads
+```
+
+### Using the weights
+
+The HF artifact is in **JSONL RVF** format (one JSON object per line: `metadata`, `encoder`, `lora`). What you can do with it today:
+
+| Consumer | Format it reads | Status |
+|----------|-----------------|--------|
+| Python / PyTorch training pipeline | `model.safetensors` | ✅ Works — load with `safetensors.torch.load_file` |
+| RVF JSONL inspection / re-export | `model.rvf.jsonl` | ✅ Works — plain JSONL, parse line-by-line |
+| Sensing-server `--model <PATH>` flag | binary RVF (`RVFS` magic) | ⚠️ Does **not** accept the JSONL file yet — see gap below |
+
+**Known gap (tracked):** `v2/crates/wifi-densepose-sensing-server/src/rvf_container.rs` only parses the binary RVF segment format (magic `0x52564653`). Pointing `--model` at `model.rvf.jsonl` causes the progressive loader to error with `invalid magic at offset 0: expected 0x52564653, got 0x7974227B` (`0x7974227B` is the ASCII bytes `{"ty…` from the JSONL header), and the live pipeline degrades to null output rather than falling back to heuristic mode. Until a JSONL adapter lands (or the model is re-published as binary RVF), run the sensing-server **without** `--model` and consume the HF weights from Python or the training pipeline.
+
+```bash
+# Works today — Python side (training, evaluation, embedding extraction):
+python -c "
+from safetensors.torch import load_file
+state = load_file('models/wifi-densepose-pretrained/model.safetensors')
+print({k: tuple(v.shape) for k, v in state.items()})
+"
+
+# Sensing server — run heuristic for now:
+cargo run -p wifi-densepose-sensing-server --release -- \
+    --source esp32 --udp-port 5005 --http-port 3000
+```
+
+See [RVF Model Containers](#rvf-model-containers) for the binary format the loader expects, and [Training a Model](#training-a-model) for using the encoder as a starting point for environment-specific fine-tuning.
+
+---
+
 ## Adaptive Classifier
 
 The adaptive classifier (ADR-048) learns your environment's specific WiFi signal patterns from labeled recordings. It replaces static threshold-based classification with a trained logistic regression model that uses 15 features (7 server-computed + 8 subcarrier-derived statistics).

firmware/esp32-csi-node/provision.py

@@ -37,6 +37,39 @@ NVS_PARTITION_OFFSET = 0x9000
 NVS_PARTITION_SIZE = 0x6000  # 24 KiB
 
 
+CONFIG_VALUE_CHECKS = [
+    ("ssid", bool),
+    ("password", lambda value: value is not None),
+    ("target_ip", bool),
+    ("target_port", lambda value: value is not None),
+    ("node_id", lambda value: value is not None),
+    ("tdm_slot", lambda value: value is not None),
+    ("tdm_total", lambda value: value is not None),
+    ("edge_tier", lambda value: value is not None),
+    ("pres_thresh", lambda value: value is not None),
+    ("fall_thresh", lambda value: value is not None),
+    ("vital_win", lambda value: value is not None),
+    ("vital_int", lambda value: value is not None),
+    ("subk_count", lambda value: value is not None),
+    ("channel", lambda value: value is not None),
+    ("filter_mac", lambda value: value is not None),
+    ("hop_channels", lambda value: value is not None),
+    ("seed_url", lambda value: value is not None),
+    ("seed_token", lambda value: value is not None),
+    ("zone", lambda value: value is not None),
+    ("swarm_hb", lambda value: value is not None),
+    ("swarm_ingest", lambda value: value is not None),
+]
+
+
+def has_config_value(args):
+    """Return True when args include at least one NVS-writing config value."""
+    return any(
+        check(getattr(args, name, None))
+        for name, check in CONFIG_VALUE_CHECKS
+    )
+
+
 def build_nvs_csv(args):
     """Build an NVS CSV string for the csi_cfg namespace."""
     buf = io.StringIO()
@@ -223,17 +256,7 @@ def main():
 
     args = parser.parse_args()
 
-    has_value = any([
-        args.ssid, args.password is not None, args.target_ip,
-        args.target_port, args.node_id is not None,
-        args.tdm_slot is not None, args.tdm_total is not None,
-        args.edge_tier is not None, args.pres_thresh is not None,
-        args.fall_thresh is not None, args.vital_win is not None,
-        args.vital_int is not None, args.subk_count is not None,
-        args.channel is not None, args.filter_mac is not None,
-        args.seed_url is not None, args.zone is not None,
-    ])
-    if not has_value:
+    if not has_config_value(args):
         parser.error("At least one config value must be specified")
 
     # Bug 2 (#391): Prevent silent wipe of WiFi credentials on partial invocations.

firmware/esp32-csi-node/tests/test_provision.py

@@ -0,0 +1,63 @@
+import csv
+import importlib.util
+import io
+import types
+import unittest
+from pathlib import Path
+
+
+PROVISION_PATH = Path(__file__).resolve().parents[1] / "provision.py"
+SPEC = importlib.util.spec_from_file_location("provision", PROVISION_PATH)
+provision = importlib.util.module_from_spec(SPEC)
+SPEC.loader.exec_module(provision)
+
+
+def make_args(**overrides):
+    values = {name: None for name, _ in provision.CONFIG_VALUE_CHECKS}
+    values["hop_dwell"] = 200
+    values.update(overrides)
+    return types.SimpleNamespace(**values)
+
+
+def csv_rows(content):
+    return list(csv.DictReader(io.StringIO(content)))
+
+
+class ProvisionConfigValueTests(unittest.TestCase):
+    def test_swarm_and_hopping_flags_count_as_config_values(self):
+        cases = [
+            {"hop_channels": "1,6,11"},
+            {"seed_token": "token-123"},
+            {"swarm_hb": 15},
+            {"swarm_ingest": 3},
+        ]
+
+        for values in cases:
+            with self.subTest(values=values):
+                self.assertTrue(provision.has_config_value(make_args(**values)))
+
+    def test_operational_flags_alone_do_not_count_as_config_values(self):
+        self.assertFalse(provision.has_config_value(make_args()))
+
+    def test_swarm_and_hopping_values_are_written_to_csv(self):
+        args = make_args(
+            hop_channels="1,6,11",
+            hop_dwell=250,
+            seed_token="token-123",
+            swarm_hb=15,
+            swarm_ingest=3,
+        )
+
+        rows = csv_rows(provision.build_nvs_csv(args))
+        values_by_key = {row["key"]: row["value"] for row in rows}
+
+        self.assertEqual(values_by_key["hop_count"], "3")
+        self.assertEqual(values_by_key["chan_list"], "01060b")
+        self.assertEqual(values_by_key["dwell_ms"], "250")
+        self.assertEqual(values_by_key["seed_token"], "token-123")
+        self.assertEqual(values_by_key["swarm_hb"], "15")
+        self.assertEqual(values_by_key["swarm_ingest"], "3")
+
+
+if __name__ == "__main__":
+    unittest.main()

ui/.eslintrc.json

@@ -0,0 +1,33 @@
+{
+  "env": {
+    "browser": true,
+    "es2022": true
+  },
+  "parserOptions": {
+    "ecmaVersion": 2022,
+    "sourceType": "module"
+  },
+  "rules": {
+    "no-unused-vars": ["warn", { "argsIgnorePattern": "^_" }],
+    "no-undef": "error",
+    "no-var": "error",
+    "prefer-const": "warn",
+    "eqeqeq": ["error", "always"],
+    "no-eval": "error",
+    "no-implied-eval": "error",
+    "no-new-func": "error",
+    "no-script-url": "error",
+    "no-alert": "warn",
+    "no-console": ["warn", { "allow": ["warn", "error", "info"] }],
+    "curly": ["warn", "multi-line"],
+    "no-throw-literal": "error",
+    "prefer-template": "warn",
+    "no-duplicate-imports": "error"
+  },
+  "ignorePatterns": [
+    "node_modules/",
+    "mobile/",
+    "vendor/",
+    "*.min.js"
+  ]
+}

ui/app.js

@@ -10,6 +10,24 @@ import { wsService } from './services/websocket.service.js';
 import { healthService } from './services/health.service.js';
 import { sensingService } from './services/sensing.service.js';
 import { backendDetector } from './utils/backend-detector.js';
+import { KeyboardShortcuts } from './utils/keyboard-shortcuts.js';
+import { PerfMonitor } from './utils/perf-monitor.js';
+import { toastManager } from './utils/toast.js';
+import { ThemeToggle } from './utils/theme-toggle.js';
+import { CommandPalette } from './utils/command-palette.js';
+import { ActivityLog } from './utils/activity-log.js';
+import { DataExport } from './utils/data-export.js';
+import { FullscreenManager } from './utils/fullscreen.js';
+import { ConnectionStatus } from './utils/connection-status.js';
+import { MobileNav } from './utils/mobile-nav.js';
+import { Router } from './utils/router.js';
+import { Onboarding } from './utils/onboarding.js';
+import { IdleManager } from './utils/idle-manager.js';
+import { NotificationCenter } from './utils/notification-center.js';
+import { i18n } from './utils/i18n.js';
+import { ScreenshotTool } from './utils/screenshot.js';
+import { UptimeClock } from './utils/uptime-clock.js';
+import { QuickSettings } from './utils/quick-settings.js';
 
 class WiFiDensePoseApp {
   constructor() {
@@ -30,10 +48,13 @@ class WiFiDensePoseApp {
       
       // Initialize UI components
       this.initializeComponents();
-      
+
+      // Initialize enhancements
+      this.initializeEnhancements();
+
       // Set up global event listeners
       this.setupEventListeners();
-      
+
       this.isInitialized = true;
       console.log('WiFi DensePose UI initialized successfully');
       
@@ -167,6 +188,118 @@ class WiFiDensePoseApp {
     }
   }
 
+  // Initialize enhancement modules
+  initializeEnhancements() {
+    // Toast notifications
+    toastManager.init();
+
+    // Connection status widget in header
+    this.connectionStatus = new ConnectionStatus();
+    this.connectionStatus.init();
+
+    // Theme toggle
+    this.themeToggle = new ThemeToggle();
+    this.themeToggle.init();
+
+    // Performance monitor
+    this.perfMonitor = new PerfMonitor();
+    this.perfMonitor.init();
+
+    // Activity log
+    this.activityLog = new ActivityLog();
+    this.activityLog.init();
+
+    // Data export
+    this.dataExport = new DataExport();
+    this.dataExport.init();
+
+    // Fullscreen manager
+    this.fullscreenManager = new FullscreenManager();
+    this.fullscreenManager.init();
+
+    // Command palette (Ctrl+K)
+    this.commandPalette = new CommandPalette(this);
+    this.commandPalette.init();
+
+    // Mobile navigation (hamburger menu for small screens)
+    this.mobileNav = new MobileNav();
+    this.mobileNav.init();
+
+    // Notification center (bell icon in header)
+    this.notificationCenter = new NotificationCenter();
+    this.notificationCenter.init();
+
+    // Screenshot tool
+    this.screenshotTool = new ScreenshotTool();
+    this.screenshotTool.init();
+
+    // Uptime clock
+    this.uptimeClock = new UptimeClock();
+    this.uptimeClock.init();
+
+    // Quick settings panel
+    this.quickSettings = new QuickSettings(this);
+    this.quickSettings.init();
+
+    // Internationalization (EN/PL)
+    i18n.init();
+
+    // Keyboard shortcuts (pass app reference for tab switching)
+    this.keyboardShortcuts = new KeyboardShortcuts(this);
+    this.keyboardShortcuts.register('l', 'Toggle activity log', () => {
+      document.dispatchEvent(new CustomEvent('toggle-activity-log'));
+    });
+    this.keyboardShortcuts.register('e', 'Export sensor data', () => {
+      document.dispatchEvent(new CustomEvent('export-data'));
+    });
+    this.keyboardShortcuts.register('f', 'Toggle fullscreen', () => {
+      document.dispatchEvent(new CustomEvent('toggle-fullscreen'));
+    });
+    this.keyboardShortcuts.register('s', 'Take screenshot', () => {
+      document.dispatchEvent(new CustomEvent('take-screenshot'));
+    });
+    this.keyboardShortcuts.init();
+
+    // Listen for show-shortcuts from command palette
+    document.addEventListener('show-shortcuts', () => {
+      this.keyboardShortcuts.showHelp();
+    });
+
+    // Register PWA service worker
+    this.registerServiceWorker();
+
+    // URL hash router (bookmarkable tabs)
+    this.router = new Router(this);
+    this.router.init();
+
+    // Idle detection (pause updates when inactive)
+    this.idleManager = new IdleManager();
+    this.idleManager.onIdle(() => {
+      healthService.stopHealthMonitoring();
+      console.info('[App] Paused health monitoring (idle)');
+    });
+    this.idleManager.onActive(() => {
+      healthService.startHealthMonitoring();
+      console.info('[App] Resumed health monitoring (active)');
+    });
+    this.idleManager.init();
+
+    // Onboarding tour (first-run walkthrough)
+    this.onboarding = new Onboarding(this);
+    this.onboarding.init();
+  }
+
+  // Register service worker for offline capability
+  registerServiceWorker() {
+    if ('serviceWorker' in navigator) {
+      navigator.serviceWorker.register('./sw.js').then(reg => {
+        console.info('Service worker registered:', reg.scope);
+      }).catch(err => {
+        console.warn('Service worker registration failed:', err);
+      });
+    }
+  }
+
   // Handle tab changes
   handleTabChange(newTab, oldTab) {
     console.log(`Tab changed from ${oldTab} to ${newTab}`);
@@ -272,45 +405,17 @@ class WiFiDensePoseApp {
     });
   }
 
-  // Show backend status notification
+  // Show backend status notification (uses enhanced toast system)
   showBackendStatus(message, type) {
-    // Create status notification if it doesn't exist
-    let statusToast = document.getElementById('backendStatusToast');
-    if (!statusToast) {
-      statusToast = document.createElement('div');
-      statusToast.id = 'backendStatusToast';
-      statusToast.className = 'backend-status-toast';
-      document.body.appendChild(statusToast);
-    }
-
-    statusToast.textContent = message;
-    statusToast.className = `backend-status-toast ${type}`;
-    statusToast.classList.add('show');
-
-    // Auto-hide success messages, keep warnings and errors longer
-    const timeout = type === 'success' ? 3000 : 8000;
-    setTimeout(() => {
-      statusToast.classList.remove('show');
-    }, timeout);
+    const toastType = type === 'success' ? 'success' : 'warning';
+    toastManager[toastType](message, {
+      duration: type === 'success' ? 3000 : 8000
+    });
   }
 
-  // Show global error message
+  // Show global error message (uses enhanced toast system)
   showGlobalError(message) {
-    // Create error toast if it doesn't exist
-    let errorToast = document.getElementById('globalErrorToast');
-    if (!errorToast) {
-      errorToast = document.createElement('div');
-      errorToast.id = 'globalErrorToast';
-      errorToast.className = 'error-toast';
-      document.body.appendChild(errorToast);
-    }
-
-    errorToast.textContent = message;
-    errorToast.classList.add('show');
-
-    setTimeout(() => {
-      errorToast.classList.remove('show');
-    }, 5000);
+    toastManager.error(message, { duration: 6000 });
   }
 
   // Clean up resources
@@ -326,9 +431,29 @@ class WiFiDensePoseApp {
 
     // Disconnect all WebSocket connections
     wsService.disconnectAll();
-    
+
     // Stop health monitoring
     healthService.dispose();
+
+    // Dispose enhancements
+    if (this.keyboardShortcuts) this.keyboardShortcuts.dispose();
+    if (this.perfMonitor) this.perfMonitor.dispose();
+    if (this.themeToggle) this.themeToggle.dispose();
+    if (this.commandPalette) this.commandPalette.dispose();
+    if (this.activityLog) this.activityLog.dispose();
+    if (this.dataExport) this.dataExport.dispose();
+    if (this.fullscreenManager) this.fullscreenManager.dispose();
+    if (this.connectionStatus) this.connectionStatus.dispose();
+    if (this.mobileNav) this.mobileNav.dispose();
+    if (this.router) this.router.dispose();
+    if (this.onboarding) this.onboarding.dispose();
+    if (this.idleManager) this.idleManager.dispose();
+    if (this.notificationCenter) this.notificationCenter.dispose();
+    if (this.screenshotTool) this.screenshotTool.dispose();
+    if (this.uptimeClock) this.uptimeClock.dispose();
+    if (this.quickSettings) this.quickSettings.dispose();
+    i18n.dispose();
+    toastManager.dispose();
   }
 
   // Public API

ui/components/TabManager.js

@@ -19,6 +19,33 @@ export class TabManager {
       tab.addEventListener('click', () => this.switchTab(tab));
     });
 
+    // Arrow key navigation within tab bar (WCAG)
+    const nav = this.container.querySelector('.nav-tabs');
+    if (nav) {
+      nav.addEventListener('keydown', (e) => {
+        const buttonTabs = this.tabs.filter(t => t.tagName === 'BUTTON' && !t.disabled);
+        const currentIndex = buttonTabs.indexOf(document.activeElement);
+        if (currentIndex === -1) return;
+
+        let nextIndex = -1;
+        if (e.key === 'ArrowRight' || e.key === 'ArrowDown') {
+          nextIndex = (currentIndex + 1) % buttonTabs.length;
+        } else if (e.key === 'ArrowLeft' || e.key === 'ArrowUp') {
+          nextIndex = (currentIndex - 1 + buttonTabs.length) % buttonTabs.length;
+        } else if (e.key === 'Home') {
+          nextIndex = 0;
+        } else if (e.key === 'End') {
+          nextIndex = buttonTabs.length - 1;
+        }
+
+        if (nextIndex >= 0) {
+          e.preventDefault();
+          buttonTabs[nextIndex].focus();
+          this.switchTab(buttonTabs[nextIndex]);
+        }
+      });
+    }
+
     // Activate first tab if none active
     const activeTab = this.tabs.find(tab => tab.classList.contains('active'));
     if (activeTab) {
@@ -36,14 +63,22 @@ export class TabManager {
       return;
     }
 
-    // Update tab states
+    // Update tab states and ARIA attributes
     this.tabs.forEach(tab => {
-      tab.classList.toggle('active', tab === tabElement);
+      const isActive = tab === tabElement;
+      tab.classList.toggle('active', isActive);
+      if (tab.hasAttribute('aria-selected')) {
+        tab.setAttribute('aria-selected', String(isActive));
+      }
     });
 
-    // Update content visibility
+    // Update content visibility and ARIA
     this.tabContents.forEach(content => {
-      content.classList.toggle('active', content.id === tabId);
+      const isActive = content.id === tabId;
+      content.classList.toggle('active', isActive);
+      if (content.hasAttribute('role')) {
+        content.setAttribute('aria-hidden', String(!isActive));
+      }
     });
 
     // Update active tab

ui/icons/generate.html

@@ -0,0 +1,66 @@
+<!DOCTYPE html>
+<html>
+<head><title>RuView Icon Generator</title></head>
+<body>
+<p>Open this file in a browser and right-click to save the canvas images as icon-192.png and icon-512.png</p>
+<canvas id="c192" width="192" height="192"></canvas>
+<canvas id="c512" width="512" height="512"></canvas>
+<script>
+function drawIcon(canvas) {
+  const ctx = canvas.getContext('2d');
+  const s = canvas.width;
+  // Background
+  ctx.fillStyle = '#1f2121';
+  ctx.beginPath();
+  ctx.roundRect(0, 0, s, s, s * 0.15);
+  ctx.fill();
+  // WiFi arcs
+  ctx.strokeStyle = '#32b8c6';
+  ctx.lineWidth = s * 0.035;
+  ctx.lineCap = 'round';
+  const cx = s * 0.5, cy = s * 0.55;
+  [0.35, 0.25, 0.15].forEach(r => {
+    ctx.beginPath();
+    ctx.arc(cx, cy, s * r, -Math.PI * 0.75, -Math.PI * 0.25);
+    ctx.stroke();
+  });
+  // Center dot
+  ctx.fillStyle = '#32b8c6';
+  ctx.beginPath();
+  ctx.arc(cx, cy, s * 0.03, 0, Math.PI * 2);
+  ctx.fill();
+  // Person silhouette
+  ctx.strokeStyle = '#21808d';
+  ctx.lineWidth = s * 0.025;
+  // Head
+  ctx.beginPath();
+  ctx.arc(cx, cy - s * 0.15, s * 0.045, 0, Math.PI * 2);
+  ctx.stroke();
+  // Body
+  ctx.beginPath();
+  ctx.moveTo(cx, cy - s * 0.1);
+  ctx.lineTo(cx, cy + s * 0.05);
+  ctx.stroke();
+  // Arms
+  ctx.beginPath();
+  ctx.moveTo(cx - s * 0.08, cy - s * 0.04);
+  ctx.lineTo(cx + s * 0.08, cy - s * 0.04);
+  ctx.stroke();
+  // Legs
+  ctx.beginPath();
+  ctx.moveTo(cx, cy + s * 0.05);
+  ctx.lineTo(cx - s * 0.06, cy + s * 0.15);
+  ctx.moveTo(cx, cy + s * 0.05);
+  ctx.lineTo(cx + s * 0.06, cy + s * 0.15);
+  ctx.stroke();
+  // Text
+  ctx.fillStyle = '#f5f5f5';
+  ctx.font = `bold ${s * 0.08}px sans-serif`;
+  ctx.textAlign = 'center';
+  ctx.fillText('RuView', cx, s * 0.88);
+}
+drawIcon(document.getElementById('c192'));
+drawIcon(document.getElementById('c512'));
+</script>
+</body>
+</html>

ui/index.html

@@ -3,40 +3,48 @@
 <head>
     <meta charset="UTF-8">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <meta name="theme-color" content="#21808d">
+    <meta name="description" content="WiFi-based human pose estimation, vital sign detection, and presence sensing through walls">
+    <meta name="apple-mobile-web-app-capable" content="yes">
+    <meta name="apple-mobile-web-app-status-bar-style" content="black-translucent">
     <title>WiFi DensePose: Human Tracking Through Walls</title>
     <link rel="stylesheet" href="style.css">
+    <link rel="manifest" href="manifest.json">
 </head>
 <body>
+    <!-- Skip to main content link for keyboard/screen reader users -->
+    <a href="#dashboard" class="skip-to-content">Skip to main content</a>
+
     <div class="container">
         <!-- Header -->
-        <header class="header">
+        <header class="header" role="banner">
             <h1>WiFi DensePose</h1>
-            <p class="subtitle">Human Tracking Through Walls Using WiFi Signals</p>
+            <p class="subtitle" data-i18n="dashboard.subtitle">Human Tracking Through Walls Using WiFi Signals</p>
             <div class="header-info">
-                <span class="api-version"></span>
-                <span class="api-environment"></span>
-                <span class="overall-health"></span>
+                <span class="api-version" aria-label="API version"></span>
+                <span class="api-environment" aria-label="Environment"></span>
+                <span class="overall-health" role="status" aria-live="polite" aria-label="System health"></span>
             </div>
         </header>
 
         <!-- Navigation -->
-        <nav class="nav-tabs">
-            <button class="nav-tab active" data-tab="dashboard">Dashboard</button>
-            <button class="nav-tab" data-tab="hardware">Hardware</button>
-            <button class="nav-tab" data-tab="demo">Live Demo</button>
-            <button class="nav-tab" data-tab="architecture">Architecture</button>
-            <button class="nav-tab" data-tab="performance">Performance</button>
-            <button class="nav-tab" data-tab="applications">Applications</button>
-            <button class="nav-tab" data-tab="sensing">Sensing</button>
-            <button class="nav-tab" data-tab="training">Training</button>
+        <nav class="nav-tabs" role="tablist" aria-label="Main navigation">
+            <button class="nav-tab active" data-tab="dashboard" role="tab" aria-selected="true" aria-controls="dashboard">Dashboard</button>
+            <button class="nav-tab" data-tab="hardware" role="tab" aria-selected="false" aria-controls="hardware">Hardware</button>
+            <button class="nav-tab" data-tab="demo" role="tab" aria-selected="false" aria-controls="demo">Live Demo</button>
+            <button class="nav-tab" data-tab="architecture" role="tab" aria-selected="false" aria-controls="architecture">Architecture</button>
+            <button class="nav-tab" data-tab="performance" role="tab" aria-selected="false" aria-controls="performance">Performance</button>
+            <button class="nav-tab" data-tab="applications" role="tab" aria-selected="false" aria-controls="applications">Applications</button>
+            <button class="nav-tab" data-tab="sensing" role="tab" aria-selected="false" aria-controls="sensing">Sensing</button>
+            <button class="nav-tab" data-tab="training" role="tab" aria-selected="false" aria-controls="training">Training</button>
             <a href="pose-fusion.html" class="nav-tab" style="text-decoration:none">Pose Fusion</a>
             <a href="observatory.html" class="nav-tab" style="text-decoration:none">Observatory</a>
         </nav>
 
         <!-- Dashboard Tab -->
-        <section id="dashboard" class="tab-content active">
+        <section id="dashboard" class="tab-content active" role="tabpanel" aria-labelledby="dashboard">
             <div class="hero-section">
-                <h2>Revolutionary WiFi-Based Human Pose Detection</h2>
+                <h2 data-i18n="dashboard.title">Revolutionary WiFi-Based Human Pose Detection</h2>
                 <p class="hero-description">
                     AI can track your full-body movement through walls using just WiFi signals. 
                     Researchers at Carnegie Mellon have trained a neural network to turn basic WiFi 
@@ -48,7 +56,7 @@
 
                 <!-- Live Status Panel -->
                 <div class="live-status-panel">
-                    <h3>System Status</h3>
+                    <h3 data-i18n="dashboard.status">System Status</h3>
                     <div class="status-grid">
                         <div class="component-status" data-component="api">
                             <span class="component-name">API Server</span>
@@ -80,24 +88,24 @@
 
                 <!-- System Metrics -->
                 <div class="system-metrics-panel">
-                    <h3>System Metrics</h3>
+                    <h3 data-i18n="dashboard.metrics">System Metrics</h3>
                     <div class="metrics-grid">
                         <div class="metric-item">
-                            <span class="metric-label">CPU Usage</span>
+                            <span class="metric-label" data-i18n="metrics.cpu">CPU Usage</span>
                             <div class="progress-bar" data-type="cpu">
                                 <div class="progress-fill normal" style="width: 0%"></div>
                             </div>
                             <span class="cpu-usage">0%</span>
                         </div>
                         <div class="metric-item">
-                            <span class="metric-label">Memory Usage</span>
+                            <span class="metric-label" data-i18n="metrics.memory">Memory Usage</span>
                             <div class="progress-bar" data-type="memory">
                                 <div class="progress-fill normal" style="width: 0%"></div>
                             </div>
                             <span class="memory-usage">0%</span>
                         </div>
                         <div class="metric-item">
-                            <span class="metric-label">Disk Usage</span>
+                            <span class="metric-label" data-i18n="metrics.disk">Disk Usage</span>
                             <div class="progress-bar" data-type="disk">
                                 <div class="progress-fill normal" style="width: 0%"></div>
                             </div>
@@ -108,13 +116,13 @@
 
                 <!-- Features Status -->
                 <div class="features-panel">
-                    <h3>Features</h3>
+                    <h3 data-i18n="dashboard.features">Features</h3>
                     <div class="features-status"></div>
                 </div>
 
                 <!-- Live Statistics -->
                 <div class="live-stats-panel">
-                    <h3>Live Statistics</h3>
+                    <h3 data-i18n="dashboard.liveStats">Live Statistics</h3>
                     <div class="stats-grid">
                         <div class="stat-item">
                             <span class="stat-label">Active Persons</span>
@@ -181,7 +189,7 @@
         </section>
 
         <!-- Hardware Tab -->
-        <section id="hardware" class="tab-content">
+        <section id="hardware" class="tab-content" role="tabpanel" aria-labelledby="hardware" aria-hidden="true">
             <h2>Hardware Configuration</h2>
             
             <div class="hardware-grid">
@@ -259,7 +267,7 @@
         </section>
 
         <!-- Demo Tab -->
-        <section id="demo" class="tab-content">
+        <section id="demo" class="tab-content" role="tabpanel" aria-labelledby="demo" aria-hidden="true">
             <h2>Live Demonstration</h2>
             
             <div class="demo-controls">
@@ -312,7 +320,7 @@
         </section>
 
         <!-- Architecture Tab -->
-        <section id="architecture" class="tab-content">
+        <section id="architecture" class="tab-content" role="tabpanel" aria-labelledby="architecture" aria-hidden="true">
             <h2>System Architecture</h2>
             
             <div class="architecture-flow">
@@ -350,7 +358,7 @@
         </section>
 
         <!-- Performance Tab -->
-        <section id="performance" class="tab-content">
+        <section id="performance" class="tab-content" role="tabpanel" aria-labelledby="performance" aria-hidden="true">
             <h2>Performance Analysis</h2>
             
             <div class="performance-chart">
@@ -422,7 +430,7 @@
         </section>
 
         <!-- Applications Tab -->
-        <section id="applications" class="tab-content">
+        <section id="applications" class="tab-content" role="tabpanel" aria-labelledby="applications" aria-hidden="true">
             <h2>Real-World Applications</h2>
             
             <div class="applications-grid">
@@ -489,10 +497,10 @@
         </section>
 
         <!-- Sensing Tab -->
-        <section id="sensing" class="tab-content"></section>
+        <section id="sensing" class="tab-content" role="tabpanel" aria-labelledby="sensing" aria-hidden="true"></section>
 
         <!-- Training Tab -->
-        <section id="training" class="tab-content">
+        <section id="training" class="tab-content" role="tabpanel" aria-labelledby="training" aria-hidden="true">
             <div class="tab-header">
                 <h2>Model Training</h2>
                 <p>Record CSI data, train pose estimation models, and manage .rvf files</p>

ui/manifest.json

@@ -0,0 +1,25 @@
+{
+  "name": "RuView - WiFi DensePose",
+  "short_name": "RuView",
+  "description": "WiFi-based human pose estimation, vital sign detection, and presence sensing through walls",
+  "start_url": "/",
+  "display": "standalone",
+  "background_color": "#1f2121",
+  "theme_color": "#21808d",
+  "orientation": "any",
+  "categories": ["utilities", "medical"],
+  "icons": [
+    {
+      "src": "icons/icon-192.png",
+      "sizes": "192x192",
+      "type": "image/png",
+      "purpose": "any maskable"
+    },
+    {
+      "src": "icons/icon-512.png",
+      "sizes": "512x512",
+      "type": "image/png",
+      "purpose": "any maskable"
+    }
+  ]
+}

ui/sw.js

@@ -0,0 +1,124 @@
+// RuView Service Worker - Offline caching for the dashboard shell
+// Strategy: Network-first for API calls, Cache-first for static assets
+
+const CACHE_NAME = 'ruview-v1';
+const SHELL_ASSETS = [
+  '/',
+  '/index.html',
+  '/style.css',
+  '/app.js',
+  '/config/api.config.js',
+  '/components/TabManager.js',
+  '/components/DashboardTab.js',
+  '/components/HardwareTab.js',
+  '/components/LiveDemoTab.js',
+  '/components/SensingTab.js',
+  '/components/PoseDetectionCanvas.js',
+  '/services/api.service.js',
+  '/services/websocket.service.js',
+  '/services/health.service.js',
+  '/services/sensing.service.js',
+  '/services/pose.service.js',
+  '/services/stream.service.js',
+  '/utils/backend-detector.js',
+  '/utils/keyboard-shortcuts.js',
+  '/utils/perf-monitor.js',
+  '/utils/toast.js',
+  '/utils/theme-toggle.js',
+  '/utils/command-palette.js',
+  '/utils/activity-log.js',
+  '/utils/data-export.js',
+  '/utils/fullscreen.js',
+  '/utils/connection-status.js',
+  '/utils/mobile-nav.js'
+];
+
+// Install - cache shell assets
+self.addEventListener('install', (event) => {
+  event.waitUntil(
+    caches.open(CACHE_NAME).then((cache) => {
+      return cache.addAll(SHELL_ASSETS).catch((err) => {
+        // Don't fail install if some assets are missing (dev mode)
+        console.warn('[SW] Some assets failed to cache:', err);
+      });
+    })
+  );
+  self.skipWaiting();
+});
+
+// Activate - clean old caches
+self.addEventListener('activate', (event) => {
+  event.waitUntil(
+    caches.keys().then((keys) => {
+      return Promise.all(
+        keys
+          .filter((key) => key !== CACHE_NAME)
+          .map((key) => caches.delete(key))
+      );
+    })
+  );
+  self.clients.claim();
+});
+
+// Fetch - network-first for API, cache-first for static
+self.addEventListener('fetch', (event) => {
+  const { request } = event;
+  const url = new URL(request.url);
+
+  // Skip non-GET requests
+  if (request.method !== 'GET') return;
+
+  // Skip WebSocket upgrade requests
+  if (request.headers.get('Upgrade') === 'websocket') return;
+
+  // Skip cross-origin requests
+  if (url.origin !== self.location.origin) return;
+
+  // API calls: network-first with cache fallback
+  if (url.pathname.startsWith('/api/') || url.pathname.startsWith('/health/')) {
+    event.respondWith(networkFirst(request));
+    return;
+  }
+
+  // Static assets: cache-first with network fallback
+  event.respondWith(cacheFirst(request));
+});
+
+async function cacheFirst(request) {
+  const cached = await caches.match(request);
+  if (cached) return cached;
+
+  try {
+    const response = await fetch(request);
+    if (response.ok) {
+      const cache = await caches.open(CACHE_NAME);
+      cache.put(request, response.clone());
+    }
+    return response;
+  } catch {
+    // Return offline fallback for HTML navigation
+    if (request.headers.get('Accept')?.includes('text/html')) {
+      const fallback = await caches.match('/index.html');
+      if (fallback) return fallback;
+    }
+    return new Response('Offline', { status: 503, statusText: 'Service Unavailable' });
+  }
+}
+
+async function networkFirst(request) {
+  try {
+    const response = await fetch(request);
+    if (response.ok) {
+      const cache = await caches.open(CACHE_NAME);
+      cache.put(request, response.clone());
+    }
+    return response;
+  } catch {
+    const cached = await caches.match(request);
+    if (cached) return cached;
+    return new Response(JSON.stringify({ error: 'offline' }), {
+      status: 503,
+      headers: { 'Content-Type': 'application/json' }
+    });
+  }
+}

ui/tests/unit-tests.html

@@ -0,0 +1,472 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+  <meta charset="UTF-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1.0">
+  <title>RuView UI - Unit Tests</title>
+  <style>
+    * { margin: 0; box-sizing: border-box; }
+    body { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif; background: #1a1a2e; color: #e0e0e0; padding: 24px; }
+    h1 { font-size: 20px; margin-bottom: 4px; color: #32b8c6; }
+    .subtitle { font-size: 13px; color: #a7a9a9; margin-bottom: 20px; }
+    .suite { margin-bottom: 16px; }
+    .suite-name { font-size: 14px; font-weight: 600; margin-bottom: 6px; color: #a7a9a9; }
+    .test { padding: 4px 0 4px 16px; font-size: 13px; font-family: monospace; }
+    .pass { color: #32b8c6; }
+    .fail { color: #ff5459; }
+    .pass::before { content: "PASS "; font-weight: bold; }
+    .fail::before { content: "FAIL "; font-weight: bold; }
+    .summary { margin-top: 24px; padding: 12px; border-top: 1px solid #333; font-size: 14px; font-weight: 600; }
+    .error-detail { color: #ff8a8a; font-size: 12px; padding-left: 32px; white-space: pre-wrap; }
+  </style>
+</head>
+<body>
+  <h1>RuView UI - Unit Tests</h1>
+  <p class="subtitle">Tests for UI components and utility modules</p>
+  <div id="output"></div>
+  <div id="summary" class="summary"></div>
+
+  <script type="module">
+    // ---- Minimal test framework (zero deps) ----
+    const results = [];
+    let currentSuite = '';
+
+    function describe(name, fn) { currentSuite = name; fn(); }
+
+    function it(name, fn) {
+      try { fn(); results.push({ suite: currentSuite, name, passed: true }); }
+      catch (e) { results.push({ suite: currentSuite, name, passed: false, error: e.message }); }
+    }
+
+    function expect(actual) {
+      return {
+        toBe(exp) { if (actual !== exp) throw new Error(`Expected ${JSON.stringify(exp)}, got ${JSON.stringify(actual)}`); },
+        toEqual(exp) { if (JSON.stringify(actual) !== JSON.stringify(exp)) throw new Error(`Expected ${JSON.stringify(exp)}, got ${JSON.stringify(actual)}`); },
+        toBeTruthy() { if (!actual) throw new Error(`Expected truthy, got ${JSON.stringify(actual)}`); },
+        toBeFalsy() { if (actual) throw new Error(`Expected falsy, got ${JSON.stringify(actual)}`); },
+        toBeGreaterThan(n) { if (!(actual > n)) throw new Error(`Expected ${actual} > ${n}`); },
+        toContain(str) { if (typeof actual === 'string' ? !actual.includes(str) : !actual.includes(str)) throw new Error(`Expected to contain "${str}"`); },
+        not: {
+          toBe(exp) { if (actual === exp) throw new Error(`Expected not ${JSON.stringify(exp)}`); },
+          toContain(str) { if (typeof actual === 'string' && actual.includes(str)) throw new Error(`Expected not to contain "${str}"`); }
+        }
+      };
+    }
+
+    function mockDOM() {
+      const c = document.createElement('div');
+      c.className = 'container';
+      c.innerHTML = `
+        <header class="header"><div class="header-info"></div></header>
+        <nav class="nav-tabs">
+          <button class="nav-tab active" data-tab="dashboard" role="tab" aria-selected="true">Dashboard</button>
+          <button class="nav-tab" data-tab="hardware" role="tab" aria-selected="false">Hardware</button>
+          <button class="nav-tab" data-tab="demo" role="tab" aria-selected="false">Live Demo</button>
+        </nav>
+        <section id="dashboard" class="tab-content active" role="tabpanel"></section>
+        <section id="hardware" class="tab-content" role="tabpanel"></section>
+        <section id="demo" class="tab-content" role="tabpanel"></section>
+      `;
+      document.body.appendChild(c);
+      return c;
+    }
+
+    // ===== ToastManager =====
+    const { ToastManager } = await import('../utils/toast.js');
+
+    describe('ToastManager', () => {
+      it('creates container with role=region on init', () => {
+        const tm = new ToastManager();
+        tm.init();
+        expect(tm.container.getAttribute('role')).toBe('region');
+        expect(tm.container.getAttribute('aria-live')).toBe('polite');
+        tm.dispose();
+      });
+
+      it('show() returns unique incremental ids', () => {
+        const tm = new ToastManager();
+        tm.init();
+        const a = tm.show('A'); const b = tm.show('B');
+        expect(b).toBeGreaterThan(a);
+        tm.dispose();
+      });
+
+      it('dismiss() removes toast from list', () => {
+        const tm = new ToastManager();
+        tm.init();
+        const id = tm.show('X', { duration: 0 });
+        expect(tm.toasts.length).toBe(1);
+        tm.dismiss(id);
+        expect(tm.toasts.length).toBe(0);
+        tm.dispose();
+      });
+
+      it('dismiss() is safe to call with unknown id', () => {
+        const tm = new ToastManager();
+        tm.init();
+        tm.dismiss(99999); // should not throw
+        expect(tm.toasts.length).toBe(0);
+        tm.dispose();
+      });
+
+      it('success/error/warning/info create correct types', () => {
+        const tm = new ToastManager();
+        tm.init();
+        tm.success('a'); tm.error('b'); tm.warning('c'); tm.info('d');
+        expect(tm.toasts.length).toBe(4);
+        tm.dispose();
+      });
+
+      it('escapes HTML entities to prevent XSS', () => {
+        const tm = new ToastManager();
+        const safe = tm.escapeHtml('<img src=x onerror=alert(1)>');
+        expect(safe).not.toContain('<img');
+        expect(safe).toContain('&lt;img');
+      });
+
+      it('stacks multiple toasts in container', () => {
+        const tm = new ToastManager();
+        tm.init();
+        tm.show('1', { duration: 0 });
+        tm.show('2', { duration: 0 });
+        tm.show('3', { duration: 0 });
+        expect(tm.container.children.length).toBe(3);
+        tm.dispose();
+      });
+
+      it('dispose() removes container from DOM', () => {
+        const tm = new ToastManager();
+        tm.init();
+        tm.show('Z', { duration: 0 });
+        const c = tm.container;
+        tm.dispose();
+        expect(c.parentNode).toBeFalsy();
+        expect(tm.toasts.length).toBe(0);
+      });
+    });
+
+    // ===== ThemeToggle =====
+    const { ThemeToggle } = await import('../utils/theme-toggle.js');
+
+    describe('ThemeToggle', () => {
+      const dom = mockDOM();
+
+      it('detects system theme as dark or light', () => {
+        const tt = new ThemeToggle();
+        const t = tt.getSystemTheme();
+        expect(t === 'dark' || t === 'light').toBeTruthy();
+      });
+
+      it('creates button with aria-label in header', () => {
+        const tt = new ThemeToggle();
+        tt.init();
+        expect(tt.button).toBeTruthy();
+        expect(tt.button.getAttribute('aria-label')).toBeTruthy();
+        tt.dispose();
+      });
+
+      it('toggle() alternates between dark and light', () => {
+        const tt = new ThemeToggle();
+        tt.init();
+        const initial = tt.currentTheme;
+        tt.toggle();
+        expect(tt.currentTheme).not.toBe(initial);
+        tt.toggle();
+        expect(tt.currentTheme).toBe(initial);
+        tt.dispose();
+      });
+
+      it('applyTheme() sets data-color-scheme on <html>', () => {
+        const tt = new ThemeToggle();
+        tt.applyTheme('dark');
+        expect(document.documentElement.getAttribute('data-color-scheme')).toBe('dark');
+        tt.applyTheme('light');
+        expect(document.documentElement.getAttribute('data-color-scheme')).toBe('light');
+      });
+
+      it('persists and retrieves theme from localStorage', () => {
+        const tt = new ThemeToggle();
+        tt.saveTheme('dark');
+        expect(tt.getSavedTheme()).toBe('dark');
+        tt.saveTheme('light');
+        expect(tt.getSavedTheme()).toBe('light');
+        localStorage.removeItem('ruview-theme');
+      });
+
+      dom.remove();
+    });
+
+    // ===== KeyboardShortcuts =====
+    const { KeyboardShortcuts } = await import('../utils/keyboard-shortcuts.js');
+
+    describe('KeyboardShortcuts', () => {
+      it('has default shortcuts for ?, Escape, and number keys', () => {
+        const ks = new KeyboardShortcuts(null);
+        expect(ks.shortcuts.has('?')).toBeTruthy();
+        expect(ks.shortcuts.has('Escape')).toBeTruthy();
+        expect(ks.shortcuts.has('1')).toBeTruthy();
+        expect(ks.shortcuts.has('8')).toBeTruthy();
+        ks.dispose();
+      });
+
+      it('register() adds custom handler', () => {
+        const ks = new KeyboardShortcuts(null);
+        let ran = false;
+        ks.register('z', 'Test', () => { ran = true; });
+        expect(ks.shortcuts.has('z')).toBeTruthy();
+        ks.shortcuts.get('z').handler();
+        expect(ran).toBeTruthy();
+        ks.dispose();
+      });
+
+      it('formatKey() maps Escape to Esc', () => {
+        const ks = new KeyboardShortcuts(null);
+        expect(ks.formatKey('Escape')).toBe('Esc');
+        expect(ks.formatKey('a')).toBe('A');
+        ks.dispose();
+      });
+
+      it('init() creates dialog overlay', () => {
+        const ks = new KeyboardShortcuts(null);
+        ks.init();
+        expect(ks.overlay).toBeTruthy();
+        expect(ks.overlay.getAttribute('role')).toBe('dialog');
+        expect(ks.overlay.getAttribute('aria-modal')).toBe('true');
+        ks.dispose();
+      });
+
+      it('showHelp/hideHelp toggles overlay visibility', () => {
+        const ks = new KeyboardShortcuts(null);
+        ks.init();
+        ks.showHelp();
+        expect(ks.helpVisible).toBeTruthy();
+        expect(ks.overlay.classList.contains('visible')).toBeTruthy();
+        ks.hideHelp();
+        expect(ks.helpVisible).toBeFalsy();
+        ks.dispose();
+      });
+
+      it('buildHelpHTML() includes Navigation/Actions/General groups', () => {
+        const ks = new KeyboardShortcuts(null);
+        const html = ks.buildHelpHTML();
+        expect(html).toContain('Navigation');
+        expect(html).toContain('Actions');
+        expect(html).toContain('General');
+        ks.dispose();
+      });
+
+      it('dispose() removes overlay from DOM', () => {
+        const ks = new KeyboardShortcuts(null);
+        ks.init();
+        const o = ks.overlay;
+        ks.dispose();
+        expect(o.parentNode).toBeFalsy();
+      });
+    });
+
+    // ===== PerfMonitor =====
+    const { PerfMonitor } = await import('../utils/perf-monitor.js');
+
+    describe('PerfMonitor', () => {
+      it('creates panel with role=status and aria-label', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        expect(pm.panel.getAttribute('role')).toBe('status');
+        expect(pm.panel.getAttribute('aria-label')).toBe('Performance monitor');
+        pm.dispose();
+      });
+
+      it('show/hide updates visible state', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        pm.show();
+        expect(pm.visible).toBeTruthy();
+        expect(pm.panel.classList.contains('visible')).toBeTruthy();
+        pm.hide();
+        expect(pm.visible).toBeFalsy();
+        pm.dispose();
+      });
+
+      it('toggle() flips visibility', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        pm.toggle();
+        expect(pm.visible).toBeTruthy();
+        pm.toggle();
+        expect(pm.visible).toBeFalsy();
+        pm.dispose();
+      });
+
+      it('updateMetric() sets text and CSS class', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        pm.updateMetric('fps', 60, 'ok');
+        const el = pm.panel.querySelector('[data-metric="fps"]');
+        expect(el.textContent).toBe('60');
+        expect(el.className).toContain('perf-ok');
+        pm.updateMetric('fps', 15, 'warning');
+        expect(el.className).toContain('perf-warning');
+        pm.dispose();
+      });
+
+      it('pushSpark() appends data and caps at 60', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        for (let i = 0; i < 70; i++) pm.pushSpark('fps', i, 0, 120);
+        expect(pm.sparkData.fps.length).toBe(60);
+        pm.dispose();
+      });
+
+      it('dispose() cleans up panel', () => {
+        const pm = new PerfMonitor();
+        pm.init();
+        pm.show();
+        const p = pm.panel;
+        pm.dispose();
+        expect(p.parentNode).toBeFalsy();
+      });
+    });
+
+    // ===== TabManager =====
+    const { TabManager } = await import('../components/TabManager.js');
+
+    describe('TabManager', () => {
+      it('initializes and finds all tabs', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        expect(tm.tabs.length).toBe(3);
+        expect(tm.activeTab).toBe('dashboard');
+        d.remove();
+      });
+
+      it('switchToTab() changes active tab', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        tm.switchToTab('hardware');
+        expect(tm.activeTab).toBe('hardware');
+        expect(d.querySelector('[data-tab="hardware"]').classList.contains('active')).toBeTruthy();
+        expect(d.querySelector('[data-tab="dashboard"]').classList.contains('active')).toBeFalsy();
+        d.remove();
+      });
+
+      it('updates aria-selected on tab switch', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        tm.switchToTab('demo');
+        expect(d.querySelector('[data-tab="dashboard"]').getAttribute('aria-selected')).toBe('false');
+        expect(d.querySelector('[data-tab="demo"]').getAttribute('aria-selected')).toBe('true');
+        d.remove();
+      });
+
+      it('fires onTabChange callbacks with correct args', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        let newId = '', oldId = '';
+        tm.onTabChange((n, o) => { newId = n; oldId = o; });
+        tm.switchToTab('hardware');
+        expect(newId).toBe('hardware');
+        expect(oldId).toBe('dashboard');
+        d.remove();
+      });
+
+      it('does not fire callback when switching to already active tab', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        let count = 0;
+        tm.onTabChange(() => { count++; });
+        tm.switchToTab('dashboard');
+        expect(count).toBe(0);
+        d.remove();
+      });
+
+      it('onTabChange() returns unsubscribe function', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        let count = 0;
+        const unsub = tm.onTabChange(() => { count++; });
+        tm.switchToTab('hardware');
+        expect(count).toBe(1);
+        unsub();
+        tm.switchToTab('demo');
+        expect(count).toBe(1); // not incremented
+        d.remove();
+      });
+
+      it('setTabEnabled(false) disables tab button', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        tm.setTabEnabled('hardware', false);
+        const btn = d.querySelector('[data-tab="hardware"]');
+        expect(btn.disabled).toBeTruthy();
+        expect(btn.classList.contains('disabled')).toBeTruthy();
+        tm.setTabEnabled('hardware', true);
+        expect(btn.disabled).toBeFalsy();
+        d.remove();
+      });
+
+      it('setTabVisible(false) hides tab', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        tm.setTabVisible('demo', false);
+        expect(d.querySelector('[data-tab="demo"]').style.display).toBe('none');
+        tm.setTabVisible('demo', true);
+        expect(d.querySelector('[data-tab="demo"]').style.display).toBe('');
+        d.remove();
+      });
+
+      it('setTabBadge() adds/removes badge', () => {
+        const d = mockDOM();
+        const tm = new TabManager(d);
+        tm.init();
+        tm.setTabBadge('hardware', '3');
+        const badge = d.querySelector('[data-tab="hardware"] .tab-badge');
+        expect(badge).toBeTruthy();
+        expect(badge.textContent).toBe('3');
+        tm.setTabBadge('hardware', null);
+        expect(d.querySelector('[data-tab="hardware"] .tab-badge')).toBeFalsy();
+        d.remove();
+      });
+    });
+
+    // ===== RENDER RESULTS =====
+    const output = document.getElementById('output');
+    let lastSuite = '', passed = 0, failed = 0;
+
+    results.forEach(r => {
+      if (r.suite !== lastSuite) {
+        lastSuite = r.suite;
+        const s = document.createElement('div');
+        s.className = 'suite';
+        s.innerHTML = `<div class="suite-name">${r.suite}</div>`;
+        output.appendChild(s);
+      }
+      const t = document.createElement('div');
+      t.className = `test ${r.passed ? 'pass' : 'fail'}`;
+      t.textContent = r.name;
+      output.lastChild.appendChild(t);
+      if (!r.passed) {
+        const e = document.createElement('div');
+        e.className = 'error-detail';
+        e.textContent = r.error;
+        output.lastChild.appendChild(e);
+      }
+      r.passed ? passed++ : failed++;
+    });
+
+    const summary = document.getElementById('summary');
+    summary.textContent = `${passed + failed} tests: ${passed} passed, ${failed} failed`;
+    summary.style.color = failed === 0 ? '#32b8c6' : '#ff5459';
+
+    console.info(`[UNIT-TESTS] ${passed + failed} tests: ${passed} passed, ${failed} failed`);
+    if (failed > 0) results.filter(r => !r.passed).forEach(r => console.error(`[FAIL] ${r.suite} > ${r.name}: ${r.error}`));
+  </script>
+</body>
+</html>

ui/utils/activity-log.js

@@ -0,0 +1,181 @@
+// Activity Log - Scrollable panel showing system events in real-time
+// Toggle with 'L' key or command palette
+
+export class ActivityLog {
+  constructor() {
+    this.panel = null;
+    this.visible = false;
+    this.entries = [];
+    this.maxEntries = 200;
+    this.logBody = null;
+    this.filters = { info: true, warning: true, error: true, connection: true };
+  }
+
+  init() {
+    this.createPanel();
+    this.interceptConsole();
+    document.addEventListener('toggle-activity-log', () => this.toggle());
+  }
+
+  createPanel() {
+    this.panel = document.createElement('div');
+    this.panel.className = 'activity-log';
+    this.panel.setAttribute('role', 'log');
+    this.panel.setAttribute('aria-label', 'Activity log');
+    this.panel.innerHTML = `
+      <div class="activity-log-header">
+        <span class="activity-log-title">Activity Log</span>
+        <div class="activity-log-controls">
+          <button class="activity-log-filter active" data-filter="info" aria-label="Toggle info messages" title="Info">I</button>
+          <button class="activity-log-filter active" data-filter="warning" aria-label="Toggle warnings" title="Warnings">W</button>
+          <button class="activity-log-filter active" data-filter="error" aria-label="Toggle errors" title="Errors">E</button>
+          <button class="activity-log-filter active" data-filter="connection" aria-label="Toggle connection events" title="Connection">C</button>
+          <button class="activity-log-clear" aria-label="Clear log" title="Clear">Clear</button>
+          <button class="activity-log-close" aria-label="Close activity log">&times;</button>
+        </div>
+      </div>
+      <div class="activity-log-body"></div>
+    `;
+
+    this.logBody = this.panel.querySelector('.activity-log-body');
+
+    // Filter toggles
+    this.panel.querySelectorAll('.activity-log-filter').forEach(btn => {
+      btn.addEventListener('click', () => {
+        const filter = btn.dataset.filter;
+        this.filters[filter] = !this.filters[filter];
+        btn.classList.toggle('active', this.filters[filter]);
+        this.rerender();
+      });
+    });
+
+    // Clear button
+    this.panel.querySelector('.activity-log-clear').addEventListener('click', () => {
+      this.entries = [];
+      this.rerender();
+    });
+
+    // Close button
+    this.panel.querySelector('.activity-log-close').addEventListener('click', () => this.hide());
+
+    // Make resizable by dragging top edge
+    this.makeResizable();
+
+    document.body.appendChild(this.panel);
+  }
+
+  makeResizable() {
+    let resizing = false;
+    let startY = 0;
+    let startHeight = 0;
+
+    this.panel.addEventListener('mousedown', (e) => {
+      // Only top 5px edge
+      const rect = this.panel.getBoundingClientRect();
+      if (e.clientY - rect.top > 5) return;
+      resizing = true;
+      startY = e.clientY;
+      startHeight = rect.height;
+      e.preventDefault();
+    });
+
+    document.addEventListener('mousemove', (e) => {
+      if (!resizing) return;
+      const delta = startY - e.clientY;
+      const newHeight = Math.max(150, Math.min(window.innerHeight * 0.7, startHeight + delta));
+      this.panel.style.height = `${newHeight}px`;
+    });
+
+    document.addEventListener('mouseup', () => { resizing = false; });
+  }
+
+  interceptConsole() {
+    const origInfo = console.info;
+    const origWarn = console.warn;
+    const origError = console.error;
+
+    console.info = (...args) => {
+      origInfo.apply(console, args);
+      this.addEntry('info', args.map(String).join(' '));
+    };
+
+    console.warn = (...args) => {
+      origWarn.apply(console, args);
+      const msg = args.map(String).join(' ');
+      const type = msg.includes('[WS-') || msg.includes('connect') ? 'connection' : 'warning';
+      this.addEntry(type, msg);
+    };
+
+    console.error = (...args) => {
+      origError.apply(console, args);
+      this.addEntry('error', args.map(String).join(' '));
+    };
+  }
+
+  addEntry(type, message) {
+    const entry = {
+      time: new Date(),
+      type,
+      message: this.truncate(message, 300)
+    };
+
+    this.entries.push(entry);
+    if (this.entries.length > this.maxEntries) {
+      this.entries.shift();
+    }
+
+    if (this.visible && this.filters[type]) {
+      this.appendEntry(entry);
+      // Auto-scroll to bottom
+      this.logBody.scrollTop = this.logBody.scrollHeight;
+    }
+  }
+
+  appendEntry(entry) {
+    const el = document.createElement('div');
+    el.className = `activity-log-entry activity-log-${entry.type}`;
+    const time = entry.time.toLocaleTimeString('en-US', { hour12: false, hour: '2-digit', minute: '2-digit', second: '2-digit' });
+    el.innerHTML = `<span class="activity-log-time">${time}</span><span class="activity-log-type">${entry.type.toUpperCase().charAt(0)}</span><span class="activity-log-msg">${this.escapeHtml(entry.message)}</span>`;
+    this.logBody.appendChild(el);
+  }
+
+  rerender() {
+    this.logBody.innerHTML = '';
+    this.entries
+      .filter(e => this.filters[e.type])
+      .forEach(e => this.appendEntry(e));
+    this.logBody.scrollTop = this.logBody.scrollHeight;
+  }
+
+  toggle() {
+    this.visible ? this.hide() : this.show();
+  }
+
+  show() {
+    this.visible = true;
+    this.panel.classList.add('visible');
+    this.rerender();
+  }
+
+  hide() {
+    this.visible = false;
+    this.panel.classList.remove('visible');
+  }
+
+  truncate(str, max) {
+    return str.length > max ? str.slice(0, max) + '...' : str;
+  }
+
+  escapeHtml(text) {
+    const div = document.createElement('div');
+    div.textContent = text;
+    return div.innerHTML;
+  }
+
+  dispose() {
+    this.hide();
+    if (this.panel?.parentNode) {
+      this.panel.parentNode.removeChild(this.panel);
+    }
+  }
+}

ui/utils/command-palette.js

@@ -0,0 +1,311 @@
+// Command Palette - Ctrl+K / Cmd+K to search and execute commands
+// Fuzzy search across tabs, actions, and settings
+
+export class CommandPalette {
+  constructor(app) {
+    this.app = app;
+    this.overlay = null;
+    this.input = null;
+    this.results = null;
+    this.visible = false;
+    this.commands = [];
+    this.selectedIndex = 0;
+    this.filteredCommands = [];
+  }
+
+  init() {
+    this.registerCommands();
+    this.createDOM();
+    this.bindGlobalShortcut();
+  }
+
+  registerCommands() {
+    // Navigation commands
+    const tabs = [
+      { id: 'dashboard', label: 'Dashboard', icon: 'grid' },
+      { id: 'hardware', label: 'Hardware', icon: 'cpu' },
+      { id: 'demo', label: 'Live Demo', icon: 'play' },
+      { id: 'architecture', label: 'Architecture', icon: 'layers' },
+      { id: 'performance', label: 'Performance', icon: 'zap' },
+      { id: 'applications', label: 'Applications', icon: 'box' },
+      { id: 'sensing', label: 'Sensing', icon: 'wifi' },
+      { id: 'training', label: 'Training', icon: 'database' },
+    ];
+
+    tabs.forEach(tab => {
+      this.commands.push({
+        category: 'Navigation',
+        label: `Go to ${tab.label}`,
+        keywords: [tab.id, tab.label.toLowerCase()],
+        icon: tab.icon,
+        action: () => {
+          const tm = this.app?.getComponent?.('tabManager');
+          if (tm) tm.switchToTab(tab.id);
+        }
+      });
+    });
+
+    // External pages
+    this.commands.push({
+      category: 'Navigation',
+      label: 'Open Pose Fusion',
+      keywords: ['pose', 'fusion', 'camera'],
+      icon: 'external',
+      action: () => { window.location.href = 'pose-fusion.html'; }
+    });
+    this.commands.push({
+      category: 'Navigation',
+      label: 'Open Observatory',
+      keywords: ['observatory', '3d', 'signal'],
+      icon: 'external',
+      action: () => { window.location.href = 'observatory.html'; }
+    });
+
+    // Actions
+    this.commands.push({
+      category: 'Actions',
+      label: 'Toggle Dark/Light Theme',
+      keywords: ['theme', 'dark', 'light', 'mode', 'color'],
+      icon: 'moon',
+      action: () => document.dispatchEvent(new CustomEvent('toggle-theme'))
+    });
+    this.commands.push({
+      category: 'Actions',
+      label: 'Toggle Performance Monitor',
+      keywords: ['perf', 'fps', 'memory', 'performance', 'monitor'],
+      icon: 'activity',
+      action: () => document.dispatchEvent(new CustomEvent('toggle-perf-monitor'))
+    });
+    this.commands.push({
+      category: 'Actions',
+      label: 'Toggle Activity Log',
+      keywords: ['log', 'events', 'activity', 'history'],
+      icon: 'list',
+      action: () => document.dispatchEvent(new CustomEvent('toggle-activity-log'))
+    });
+    this.commands.push({
+      category: 'Actions',
+      label: 'Export Sensor Data',
+      keywords: ['export', 'download', 'csv', 'json', 'data', 'save'],
+      icon: 'download',
+      action: () => document.dispatchEvent(new CustomEvent('export-data'))
+    });
+    this.commands.push({
+      category: 'Actions',
+      label: 'Toggle Fullscreen',
+      keywords: ['fullscreen', 'full', 'screen', 'maximize'],
+      icon: 'maximize',
+      action: () => document.dispatchEvent(new CustomEvent('toggle-fullscreen'))
+    });
+    this.commands.push({
+      category: 'Actions',
+      label: 'Show Keyboard Shortcuts',
+      keywords: ['keyboard', 'shortcuts', 'keys', 'help'],
+      icon: 'keyboard',
+      action: () => document.dispatchEvent(new CustomEvent('show-shortcuts'))
+    });
+  }
+
+  createDOM() {
+    this.overlay = document.createElement('div');
+    this.overlay.className = 'cmd-palette-overlay';
+    this.overlay.setAttribute('role', 'dialog');
+    this.overlay.setAttribute('aria-label', 'Command palette');
+    this.overlay.setAttribute('aria-modal', 'true');
+
+    this.overlay.innerHTML = `
+      <div class="cmd-palette">
+        <div class="cmd-palette-input-wrap">
+          <svg class="cmd-palette-search-icon" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><circle cx="11" cy="11" r="8"/><line x1="21" y1="21" x2="16.65" y2="16.65"/></svg>
+          <input type="text" class="cmd-palette-input" placeholder="Type a command..." aria-label="Search commands" autocomplete="off" spellcheck="false">
+          <kbd class="cmd-palette-hint">Esc</kbd>
+        </div>
+        <div class="cmd-palette-results" role="listbox" aria-label="Commands"></div>
+        <div class="cmd-palette-footer">
+          <span><kbd>Up</kbd><kbd>Down</kbd> navigate</span>
+          <span><kbd>Enter</kbd> execute</span>
+          <span><kbd>Esc</kbd> close</span>
+        </div>
+      </div>
+    `;
+
+    this.overlay.addEventListener('click', (e) => {
+      if (e.target === this.overlay) this.hide();
+    });
+
+    this.input = this.overlay.querySelector('.cmd-palette-input');
+    this.results = this.overlay.querySelector('.cmd-palette-results');
+
+    this.input.addEventListener('input', () => this.onInput());
+    this.input.addEventListener('keydown', (e) => this.onKeydown(e));
+
+    document.body.appendChild(this.overlay);
+  }
+
+  bindGlobalShortcut() {
+    document.addEventListener('keydown', (e) => {
+      // Ctrl+K or Cmd+K
+      if ((e.ctrlKey || e.metaKey) && e.key === 'k') {
+        e.preventDefault();
+        this.toggle();
+      }
+    });
+  }
+
+  toggle() {
+    this.visible ? this.hide() : this.show();
+  }
+
+  show() {
+    this.visible = true;
+    this.overlay.classList.add('visible');
+    this.input.value = '';
+    this.selectedIndex = 0;
+    this.filteredCommands = [...this.commands];
+    this.renderResults();
+    this.input.focus();
+  }
+
+  hide() {
+    this.visible = false;
+    this.overlay.classList.remove('visible');
+  }
+
+  onInput() {
+    const query = this.input.value.toLowerCase().trim();
+    if (!query) {
+      this.filteredCommands = [...this.commands];
+    } else {
+      this.filteredCommands = this.commands
+        .map(cmd => {
+          const score = this.fuzzyScore(query, cmd);
+          return { ...cmd, score };
+        })
+        .filter(cmd => cmd.score > 0)
+        .sort((a, b) => b.score - a.score);
+    }
+    this.selectedIndex = 0;
+    this.renderResults();
+  }
+
+  fuzzyScore(query, cmd) {
+    const targets = [cmd.label.toLowerCase(), ...cmd.keywords, cmd.category.toLowerCase()];
+    let best = 0;
+    for (const target of targets) {
+      if (target === query) return 100;
+      if (target.startsWith(query)) best = Math.max(best, 80);
+      if (target.includes(query)) best = Math.max(best, 60);
+      // Check each word
+      const words = query.split(/\s+/);
+      const allMatch = words.every(w => targets.some(t => t.includes(w)));
+      if (allMatch) best = Math.max(best, 40);
+    }
+    return best;
+  }
+
+  renderResults() {
+    if (this.filteredCommands.length === 0) {
+      this.results.innerHTML = '<div class="cmd-palette-empty">No matching commands</div>';
+      return;
+    }
+
+    let lastCategory = '';
+    let html = '';
+
+    this.filteredCommands.forEach((cmd, i) => {
+      if (cmd.category !== lastCategory) {
+        lastCategory = cmd.category;
+        html += `<div class="cmd-palette-category">${cmd.category}</div>`;
+      }
+      const selected = i === this.selectedIndex ? ' cmd-palette-item-selected' : '';
+      html += `
+        <div class="cmd-palette-item${selected}" data-index="${i}" role="option" aria-selected="${i === this.selectedIndex}">
+          <span class="cmd-palette-item-icon">${this.getIcon(cmd.icon)}</span>
+          <span class="cmd-palette-item-label">${cmd.label}</span>
+        </div>`;
+    });
+
+    this.results.innerHTML = html;
+
+    // Click handlers
+    this.results.querySelectorAll('.cmd-palette-item').forEach(el => {
+      el.addEventListener('click', () => {
+        const idx = parseInt(el.dataset.index, 10);
+        this.executeCommand(idx);
+      });
+      el.addEventListener('mouseenter', () => {
+        this.selectedIndex = parseInt(el.dataset.index, 10);
+        this.updateSelection();
+      });
+    });
+
+    // Scroll selected into view
+    const selectedEl = this.results.querySelector('.cmd-palette-item-selected');
+    if (selectedEl) selectedEl.scrollIntoView({ block: 'nearest' });
+  }
+
+  updateSelection() {
+    this.results.querySelectorAll('.cmd-palette-item').forEach((el, i) => {
+      const isSelected = parseInt(el.dataset.index, 10) === this.selectedIndex;
+      el.classList.toggle('cmd-palette-item-selected', isSelected);
+      el.setAttribute('aria-selected', String(isSelected));
+    });
+  }
+
+  onKeydown(e) {
+    if (e.key === 'ArrowDown') {
+      e.preventDefault();
+      this.selectedIndex = Math.min(this.selectedIndex + 1, this.filteredCommands.length - 1);
+      this.updateSelection();
+      const sel = this.results.querySelector('.cmd-palette-item-selected');
+      if (sel) sel.scrollIntoView({ block: 'nearest' });
+    } else if (e.key === 'ArrowUp') {
+      e.preventDefault();
+      this.selectedIndex = Math.max(this.selectedIndex - 1, 0);
+      this.updateSelection();
+      const sel = this.results.querySelector('.cmd-palette-item-selected');
+      if (sel) sel.scrollIntoView({ block: 'nearest' });
+    } else if (e.key === 'Enter') {
+      e.preventDefault();
+      this.executeCommand(this.selectedIndex);
+    } else if (e.key === 'Escape') {
+      e.preventDefault();
+      this.hide();
+    }
+  }
+
+  executeCommand(index) {
+    const cmd = this.filteredCommands[index];
+    if (cmd) {
+      this.hide();
+      cmd.action();
+    }
+  }
+
+  getIcon(name) {
+    const icons = {
+      grid: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="3" y="3" width="7" height="7"/><rect x="14" y="3" width="7" height="7"/><rect x="3" y="14" width="7" height="7"/><rect x="14" y="14" width="7" height="7"/></svg>',
+      cpu: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="4" y="4" width="16" height="16" rx="2"/><rect x="9" y="9" width="6" height="6"/><line x1="9" y1="1" x2="9" y2="4"/><line x1="15" y1="1" x2="15" y2="4"/><line x1="9" y1="20" x2="9" y2="23"/><line x1="15" y1="20" x2="15" y2="23"/></svg>',
+      play: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polygon points="5 3 19 12 5 21 5 3"/></svg>',
+      layers: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polygon points="12 2 2 7 12 12 22 7 12 2"/><polyline points="2 17 12 22 22 17"/><polyline points="2 12 12 17 22 12"/></svg>',
+      zap: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polygon points="13 2 3 14 12 14 11 22 21 10 12 10 13 2"/></svg>',
+      box: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M21 16V8a2 2 0 0 0-1-1.73l-7-4a2 2 0 0 0-2 0l-7 4A2 2 0 0 0 3 8v8a2 2 0 0 0 1 1.73l7 4a2 2 0 0 0 2 0l7-4A2 2 0 0 0 21 16z"/></svg>',
+      wifi: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M5 12.55a11 11 0 0 1 14.08 0"/><path d="M1.42 9a16 16 0 0 1 21.16 0"/><path d="M8.53 16.11a6 6 0 0 1 6.95 0"/><line x1="12" y1="20" x2="12.01" y2="20"/></svg>',
+      database: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><ellipse cx="12" cy="5" rx="9" ry="3"/><path d="M21 12c0 1.66-4 3-9 3s-9-1.34-9-3"/><path d="M3 5v14c0 1.66 4 3 9 3s9-1.34 9-3V5"/></svg>',
+      external: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M18 13v6a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2V8a2 2 0 0 1 2-2h6"/><polyline points="15 3 21 3 21 9"/><line x1="10" y1="14" x2="21" y2="3"/></svg>',
+      moon: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M21 12.79A9 9 0 1 1 11.21 3 7 7 0 0 0 21 12.79z"/></svg>',
+      activity: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="22 12 18 12 15 21 9 3 6 12 2 12"/></svg>',
+      list: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><line x1="8" y1="6" x2="21" y2="6"/><line x1="8" y1="12" x2="21" y2="12"/><line x1="8" y1="18" x2="21" y2="18"/><line x1="3" y1="6" x2="3.01" y2="6"/><line x1="3" y1="12" x2="3.01" y2="12"/><line x1="3" y1="18" x2="3.01" y2="18"/></svg>',
+      download: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><path d="M21 15v4a2 2 0 0 1-2 2H5a2 2 0 0 1-2-2v-4"/><polyline points="7 10 12 15 17 10"/><line x1="12" y1="15" x2="12" y2="3"/></svg>',
+      maximize: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="15 3 21 3 21 9"/><polyline points="9 21 3 21 3 15"/><line x1="21" y1="3" x2="14" y2="10"/><line x1="3" y1="21" x2="10" y2="14"/></svg>',
+      keyboard: '<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><rect x="2" y="4" width="20" height="16" rx="2"/><line x1="6" y1="8" x2="6.01" y2="8"/><line x1="10" y1="8" x2="10.01" y2="8"/><line x1="14" y1="8" x2="14.01" y2="8"/><line x1="18" y1="8" x2="18.01" y2="8"/><line x1="8" y1="12" x2="8.01" y2="12"/><line x1="12" y1="12" x2="12.01" y2="12"/><line x1="16" y1="12" x2="16.01" y2="12"/><line x1="7" y1="16" x2="17" y2="16"/></svg>'
+    };
+    return icons[name] || '';
+  }
+
+  dispose() {
+    if (this.overlay?.parentNode) {
+      this.overlay.parentNode.removeChild(this.overlay);
+    }
+  }
+}

ui/utils/connection-status.js

@@ -0,0 +1,84 @@
+// Connection Status Widget - Persistent indicator in header
+// Shows WebSocket and API connection state with reconnect button
+
+import { sensingService } from '../services/sensing.service.js';
+
+export class ConnectionStatus {
+  constructor() {
+    this.widget = null;
+    this._unsub = null;
+  }
+
+  init() {
+    this.createWidget();
+    this.subscribe();
+  }
+
+  createWidget() {
+    this.widget = document.createElement('div');
+    this.widget.className = 'conn-status';
+    this.widget.setAttribute('role', 'status');
+    this.widget.setAttribute('aria-live', 'polite');
+    this.widget.innerHTML = `
+      <span class="conn-status-dot"></span>
+      <span class="conn-status-label">Connecting</span>
+      <button class="conn-status-reconnect" aria-label="Reconnect" title="Reconnect" style="display:none">
+        <svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5"><polyline points="23 4 23 10 17 10"/><path d="M20.49 15a9 9 0 1 1-2.12-9.36L23 10"/></svg>
+      </button>
+    `;
+
+    this.widget.querySelector('.conn-status-reconnect').addEventListener('click', () => {
+      this.setStatus('reconnecting', 'Reconnecting...');
+      sensingService.reconnect?.();
+    });
+
+    // Insert into header-info, after theme toggle if present
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) {
+      headerInfo.prepend(this.widget);
+    }
+  }
+
+  subscribe() {
+    this._unsub = sensingService.onStateChange(() => {
+      this.update();
+    });
+    // Initial
+    this.update();
+  }
+
+  update() {
+    const state = sensingService.state;
+    const source = sensingService.dataSource;
+
+    if (state === 'connected' || state === 'streaming') {
+      const label = source === 'live' ? 'Live' :
+                    source === 'server-simulated' ? 'Simulated' :
+                    'Connected';
+      this.setStatus('connected', label);
+    } else if (state === 'connecting' || state === 'reconnecting') {
+      this.setStatus('reconnecting', 'Connecting...');
+    } else if (state === 'error') {
+      this.setStatus('error', 'Error');
+    } else {
+      this.setStatus('disconnected', 'Offline');
+    }
+  }
+
+  setStatus(status, label) {
+    if (!this.widget) return;
+    this.widget.className = `conn-status conn-status-${status}`;
+    this.widget.querySelector('.conn-status-label').textContent = label;
+
+    const reconnectBtn = this.widget.querySelector('.conn-status-reconnect');
+    reconnectBtn.style.display =
+      (status === 'disconnected' || status === 'error') ? '' : 'none';
+  }
+
+  dispose() {
+    if (this._unsub) this._unsub();
+    if (this.widget?.parentNode) {
+      this.widget.parentNode.removeChild(this.widget);
+    }
+  }
+}

ui/utils/data-export.js

@@ -0,0 +1,148 @@
+// Data Export Utility - Export sensor/pose data as JSON or CSV
+
+import { sensingService } from '../services/sensing.service.js';
+import { toastManager } from './toast.js';
+
+export class DataExport {
+  constructor() {
+    this.buffer = [];
+    this.maxBuffer = 1000;
+    this.recording = false;
+    this._unsub = null;
+  }
+
+  init() {
+    document.addEventListener('export-data', () => this.showExportDialog());
+
+    // Continuously buffer sensing data when available
+    this._unsub = sensingService.onData((data) => {
+      if (this.buffer.length >= this.maxBuffer) {
+        this.buffer.shift();
+      }
+      this.buffer.push({
+        timestamp: new Date().toISOString(),
+        ...this.extractFields(data)
+      });
+    });
+  }
+
+  extractFields(data) {
+    // Extract relevant fields from sensing data
+    return {
+      rssi: data.rssi ?? null,
+      variance: data.variance ?? null,
+      motion_band: data.motion_band ?? null,
+      breathing_band: data.breathing_band ?? null,
+      classification: data.classification ?? null,
+      person_count: data.person_count ?? data.persons ?? null,
+      subcarriers: data.subcarrier_count ?? null,
+      source: data.source ?? null
+    };
+  }
+
+  showExportDialog() {
+    if (this.buffer.length === 0) {
+      toastManager.warning('No sensor data to export. Connect to a data source first.');
+      return;
+    }
+
+    // Create dialog
+    const overlay = document.createElement('div');
+    overlay.className = 'export-dialog-overlay';
+    overlay.innerHTML = `
+      <div class="export-dialog" role="dialog" aria-label="Export data" aria-modal="true">
+        <h3>Export Sensor Data</h3>
+        <p class="export-dialog-info">${this.buffer.length} data points available</p>
+        <div class="export-dialog-options">
+          <label class="export-option">
+            <input type="radio" name="export-format" value="json" checked>
+            <span>JSON</span>
+            <small>Full data with nested fields</small>
+          </label>
+          <label class="export-option">
+            <input type="radio" name="export-format" value="csv">
+            <span>CSV</span>
+            <small>Flat table, spreadsheet-ready</small>
+          </label>
+        </div>
+        <div class="export-dialog-range">
+          <label>
+            Last <input type="number" id="export-count" value="${Math.min(this.buffer.length, 500)}" min="1" max="${this.buffer.length}"> data points
+          </label>
+        </div>
+        <div class="export-dialog-actions">
+          <button class="btn btn--secondary export-cancel">Cancel</button>
+          <button class="btn btn--primary export-confirm">Export</button>
+        </div>
+      </div>
+    `;
+
+    overlay.addEventListener('click', (e) => {
+      if (e.target === overlay) overlay.remove();
+    });
+    overlay.querySelector('.export-cancel').addEventListener('click', () => overlay.remove());
+    overlay.querySelector('.export-confirm').addEventListener('click', () => {
+      const format = overlay.querySelector('input[name="export-format"]:checked').value;
+      const count = parseInt(overlay.querySelector('#export-count').value, 10) || this.buffer.length;
+      this.exportData(format, count);
+      overlay.remove();
+    });
+
+    document.body.appendChild(overlay);
+    overlay.querySelector('.export-confirm').focus();
+  }
+
+  exportData(format, count) {
+    const data = this.buffer.slice(-count);
+
+    let content, filename, mimeType;
+
+    if (format === 'json') {
+      content = JSON.stringify(data, null, 2);
+      filename = `ruview-data-${this.timestamp()}.json`;
+      mimeType = 'application/json';
+    } else {
+      content = this.toCSV(data);
+      filename = `ruview-data-${this.timestamp()}.csv`;
+      mimeType = 'text/csv';
+    }
+
+    this.downloadFile(content, filename, mimeType);
+    toastManager.success(`Exported ${data.length} data points as ${format.toUpperCase()}`);
+  }
+
+  toCSV(data) {
+    if (data.length === 0) return '';
+    const headers = Object.keys(data[0]);
+    const rows = data.map(row => headers.map(h => {
+      const val = row[h];
+      if (val === null || val === undefined) return '';
+      if (typeof val === 'string' && (val.includes(',') || val.includes('"'))) {
+        return `"${val.replace(/"/g, '""')}"`;
+      }
+      return String(val);
+    }).join(','));
+    return [headers.join(','), ...rows].join('\n');
+  }
+
+  downloadFile(content, filename, mimeType) {
+    const blob = new Blob([content], { type: mimeType });
+    const url = URL.createObjectURL(blob);
+    const a = document.createElement('a');
+    a.href = url;
+    a.download = filename;
+    a.style.display = 'none';
+    document.body.appendChild(a);
+    a.click();
+    document.body.removeChild(a);
+    URL.revokeObjectURL(url);
+  }
+
+  timestamp() {
+    return new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
+  }
+
+  dispose() {
+    if (this._unsub) this._unsub();
+  }
+}

ui/utils/fullscreen.js

@@ -0,0 +1,79 @@
+// Fullscreen Mode - Toggle fullscreen on visualization tabs
+// Activated via F11 key, command palette, or button
+
+export class FullscreenManager {
+  constructor() {
+    this.isFullscreen = false;
+    this.targetElement = null;
+  }
+
+  init() {
+    document.addEventListener('toggle-fullscreen', () => this.toggle());
+
+    document.addEventListener('keydown', (e) => {
+      if (e.key === 'F11') {
+        e.preventDefault();
+        this.toggle();
+      }
+    });
+
+    document.addEventListener('fullscreenchange', () => {
+      this.isFullscreen = !!document.fullscreenElement;
+      this.updateUI();
+    });
+  }
+
+  toggle() {
+    if (this.isFullscreen) {
+      this.exit();
+    } else {
+      this.enter();
+    }
+  }
+
+  enter() {
+    // Find the active tab content
+    const activePanel = document.querySelector('.tab-content.active');
+    if (!activePanel) return;
+
+    this.targetElement = activePanel;
+
+    if (activePanel.requestFullscreen) {
+      activePanel.requestFullscreen();
+    } else if (activePanel.webkitRequestFullscreen) {
+      activePanel.webkitRequestFullscreen();
+    }
+  }
+
+  exit() {
+    if (document.exitFullscreen) {
+      document.exitFullscreen();
+    } else if (document.webkitExitFullscreen) {
+      document.webkitExitFullscreen();
+    }
+    this.targetElement = null;
+  }
+
+  updateUI() {
+    document.body.classList.toggle('is-fullscreen', this.isFullscreen);
+
+    // Add/remove exit button when in fullscreen
+    let exitBtn = document.getElementById('fullscreen-exit-btn');
+    if (this.isFullscreen && !exitBtn) {
+      exitBtn = document.createElement('button');
+      exitBtn.id = 'fullscreen-exit-btn';
+      exitBtn.className = 'fullscreen-exit-btn';
+      exitBtn.setAttribute('aria-label', 'Exit fullscreen');
+      exitBtn.innerHTML = '<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2"><polyline points="4 14 10 14 10 20"/><polyline points="20 10 14 10 14 4"/><line x1="14" y1="10" x2="21" y2="3"/><line x1="3" y1="21" x2="10" y2="14"/></svg>';
+      exitBtn.title = 'Exit fullscreen (F11)';
+      exitBtn.addEventListener('click', () => this.exit());
+      document.body.appendChild(exitBtn);
+    } else if (!this.isFullscreen && exitBtn) {
+      exitBtn.remove();
+    }
+  }
+
+  dispose() {
+    if (this.isFullscreen) this.exit();
+  }
+}

ui/utils/i18n.js

@@ -0,0 +1,264 @@
+// Internationalization - EN/PL language support
+// Detects browser language, persists choice, translates UI strings
+
+const translations = {
+  en: {
+    // Navigation
+    'nav.dashboard': 'Dashboard',
+    'nav.hardware': 'Hardware',
+    'nav.demo': 'Live Demo',
+    'nav.architecture': 'Architecture',
+    'nav.performance': 'Performance',
+    'nav.applications': 'Applications',
+    'nav.sensing': 'Sensing',
+    'nav.training': 'Training',
+
+    // Dashboard
+    'dashboard.title': 'Revolutionary WiFi-Based Human Pose Detection',
+    'dashboard.subtitle': 'Human Tracking Through Walls Using WiFi Signals',
+    'dashboard.description': 'AI can track your full-body movement through walls using just WiFi signals. Researchers at Carnegie Mellon have trained a neural network to turn basic WiFi signals into detailed wireframe models of human bodies.',
+    'dashboard.status': 'System Status',
+    'dashboard.metrics': 'System Metrics',
+    'dashboard.features': 'Features',
+    'dashboard.liveStats': 'Live Statistics',
+    'dashboard.activePersons': 'Active Persons',
+    'dashboard.avgConfidence': 'Avg Confidence',
+    'dashboard.totalDetections': 'Total Detections',
+    'dashboard.zoneOccupancy': 'Zone Occupancy',
+
+    // Status
+    'status.apiServer': 'API Server',
+    'status.hardware': 'Hardware',
+    'status.inference': 'Inference',
+    'status.streaming': 'Streaming',
+    'status.dataSource': 'Data Source',
+
+    // Metrics
+    'metrics.cpu': 'CPU Usage',
+    'metrics.memory': 'Memory Usage',
+    'metrics.disk': 'Disk Usage',
+
+    // Benefits
+    'benefit.throughWalls': 'Through Walls',
+    'benefit.throughWallsDesc': 'Works through solid barriers with no line of sight required',
+    'benefit.privacy': 'Privacy-Preserving',
+    'benefit.privacyDesc': 'No cameras or visual recording - just WiFi signal analysis',
+    'benefit.realtime': 'Real-Time',
+    'benefit.realtimeDesc': 'Maps 24 body regions in real-time at 100Hz sampling rate',
+    'benefit.lowCost': 'Low Cost',
+    'benefit.lowCostDesc': 'Built using $30 commercial WiFi hardware',
+
+    // Stats
+    'stat.bodyRegions': 'Body Regions',
+    'stat.samplingRate': 'Sampling Rate',
+    'stat.accuracy': 'Accuracy (AP@50)',
+    'stat.hardwareCost': 'Hardware Cost',
+
+    // Actions
+    'action.startDetection': 'Start Detection',
+    'action.stopDetection': 'Stop Detection',
+    'action.toggleTheme': 'Toggle theme',
+    'action.exportData': 'Export data',
+    'action.screenshot': 'Take screenshot',
+
+    // Connection
+    'conn.connected': 'Connected',
+    'conn.connecting': 'Connecting...',
+    'conn.offline': 'Offline',
+    'conn.reconnecting': 'Reconnecting...',
+    'conn.live': 'Live',
+    'conn.simulated': 'Simulated',
+
+    // Misc
+    'misc.loading': 'Loading...',
+    'misc.error': 'An error occurred',
+    'misc.noData': 'No data available',
+    'misc.close': 'Close',
+    'misc.cancel': 'Cancel',
+    'misc.confirm': 'Confirm',
+    'misc.settings': 'Settings',
+    'misc.language': 'Language'
+  },
+
+  pl: {
+    // Navigation
+    'nav.dashboard': 'Panel',
+    'nav.hardware': 'Sprzet',
+    'nav.demo': 'Demo na zywo',
+    'nav.architecture': 'Architektura',
+    'nav.performance': 'Wydajnosc',
+    'nav.applications': 'Aplikacje',
+    'nav.sensing': 'Czujniki',
+    'nav.training': 'Trening',
+
+    // Dashboard
+    'dashboard.title': 'Rewolucyjne wykrywanie pozy czlowieka przez WiFi',
+    'dashboard.subtitle': 'Sledzenie ludzi przez sciany za pomoca sygnalow WiFi',
+    'dashboard.description': 'AI moze sledzic ruchy calego ciala przez sciany uzywajac jedynie sygnalow WiFi. Badacze z Carnegie Mellon wytrenowali siec neuronowa do zamiany sygnalow WiFi w szczegolowe modele szkieletowe.',
+    'dashboard.status': 'Status systemu',
+    'dashboard.metrics': 'Metryki systemu',
+    'dashboard.features': 'Funkcje',
+    'dashboard.liveStats': 'Statystyki na zywo',
+    'dashboard.activePersons': 'Aktywne osoby',
+    'dashboard.avgConfidence': 'Srednia pewnosc',
+    'dashboard.totalDetections': 'Laczne detekcje',
+    'dashboard.zoneOccupancy': 'Zajecie stref',
+
+    // Status
+    'status.apiServer': 'Serwer API',
+    'status.hardware': 'Sprzet',
+    'status.inference': 'Wnioskowanie',
+    'status.streaming': 'Streaming',
+    'status.dataSource': 'Zrodlo danych',
+
+    // Metrics
+    'metrics.cpu': 'Uzycie CPU',
+    'metrics.memory': 'Uzycie pamieci',
+    'metrics.disk': 'Uzycie dysku',
+
+    // Benefits
+    'benefit.throughWalls': 'Przez sciany',
+    'benefit.throughWallsDesc': 'Dziala przez przeszkody stale bez linii wzroku',
+    'benefit.privacy': 'Ochrona prywatnosci',
+    'benefit.privacyDesc': 'Brak kamer i nagrywania - tylko analiza sygnalow WiFi',
+    'benefit.realtime': 'Czas rzeczywisty',
+    'benefit.realtimeDesc': 'Mapuje 24 regiony ciala w czasie rzeczywistym przy 100Hz',
+    'benefit.lowCost': 'Niski koszt',
+    'benefit.lowCostDesc': 'Zbudowany z komercyjnego sprzetu WiFi za $30',
+
+    // Stats
+    'stat.bodyRegions': 'Regiony ciala',
+    'stat.samplingRate': 'Czestotliwosc',
+    'stat.accuracy': 'Dokladnosc (AP@50)',
+    'stat.hardwareCost': 'Koszt sprzetu',
+
+    // Actions
+    'action.startDetection': 'Rozpocznij detekcje',
+    'action.stopDetection': 'Zatrzymaj detekcje',
+    'action.toggleTheme': 'Zmien motyw',
+    'action.exportData': 'Eksportuj dane',
+    'action.screenshot': 'Zrob zrzut ekranu',
+
+    // Connection
+    'conn.connected': 'Polaczono',
+    'conn.connecting': 'Laczenie...',
+    'conn.offline': 'Offline',
+    'conn.reconnecting': 'Ponowne laczenie...',
+    'conn.live': 'Na zywo',
+    'conn.simulated': 'Symulacja',
+
+    // Misc
+    'misc.loading': 'Ladowanie...',
+    'misc.error': 'Wystapil blad',
+    'misc.noData': 'Brak danych',
+    'misc.close': 'Zamknij',
+    'misc.cancel': 'Anuluj',
+    'misc.confirm': 'Potwierdz',
+    'misc.settings': 'Ustawienia',
+    'misc.language': 'Jezyk'
+  }
+};
+
+export class I18n {
+  constructor() {
+    this.locale = this.getSavedLocale() || this.detectLocale();
+    this.listeners = [];
+  }
+
+  init() {
+    this.createSelector();
+    this.applyTranslations();
+  }
+
+  detectLocale() {
+    const lang = navigator.language?.toLowerCase() || 'en';
+    if (lang.startsWith('pl')) return 'pl';
+    return 'en';
+  }
+
+  getSavedLocale() {
+    try { return localStorage.getItem('ruview-locale'); }
+    catch { return null; }
+  }
+
+  saveLocale(locale) {
+    try { localStorage.setItem('ruview-locale', locale); }
+    catch { /* noop */ }
+  }
+
+  t(key) {
+    const dict = translations[this.locale] || translations.en;
+    return dict[key] || translations.en[key] || key;
+  }
+
+  setLocale(locale) {
+    if (!translations[locale]) return;
+    this.locale = locale;
+    this.saveLocale(locale);
+    document.documentElement.setAttribute('lang', locale);
+    this.applyTranslations();
+    this.listeners.forEach(cb => { try { cb(locale); } catch { /* noop */ } });
+  }
+
+  onLocaleChange(callback) {
+    this.listeners.push(callback);
+    return () => {
+      const i = this.listeners.indexOf(callback);
+      if (i > -1) this.listeners.splice(i, 1);
+    };
+  }
+
+  applyTranslations() {
+    // Translate elements with data-i18n attribute
+    document.querySelectorAll('[data-i18n]').forEach(el => {
+      const key = el.getAttribute('data-i18n');
+      el.textContent = this.t(key);
+    });
+
+    // Translate placeholders
+    document.querySelectorAll('[data-i18n-placeholder]').forEach(el => {
+      const key = el.getAttribute('data-i18n-placeholder');
+      el.placeholder = this.t(key);
+    });
+
+    // Translate aria-labels
+    document.querySelectorAll('[data-i18n-aria]').forEach(el => {
+      const key = el.getAttribute('data-i18n-aria');
+      el.setAttribute('aria-label', this.t(key));
+    });
+
+    // Update language selector
+    const selector = document.getElementById('lang-selector');
+    if (selector) selector.value = this.locale;
+  }
+
+  createSelector() {
+    const wrapper = document.createElement('div');
+    wrapper.className = 'lang-selector-wrap';
+    wrapper.innerHTML = `
+      <select id="lang-selector" class="lang-selector" aria-label="Language">
+        <option value="en">EN</option>
+        <option value="pl">PL</option>
+      </select>
+    `;
+
+    const select = wrapper.querySelector('select');
+    select.value = this.locale;
+    select.addEventListener('change', () => this.setLocale(select.value));
+
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) {
+      headerInfo.appendChild(wrapper);
+    }
+  }
+
+  getAvailableLocales() {
+    return Object.keys(translations);
+  }
+
+  dispose() {
+    this.listeners = [];
+  }
+}
+
+export const i18n = new I18n();

ui/utils/idle-manager.js

@@ -0,0 +1,83 @@
+// Idle Manager - Pauses animations, polling, and WebSocket pings when user is inactive
+// Reduces CPU/battery usage on idle dashboards
+
+export class IdleManager {
+  constructor() {
+    this.idleTimeout = 3 * 60 * 1000; // 3 minutes
+    this.isIdle = false;
+    this.timer = null;
+    this.callbacks = { idle: [], active: [] };
+    this.events = ['mousemove', 'mousedown', 'keydown', 'touchstart', 'scroll'];
+  }
+
+  init() {
+    this.resetTimer();
+    this.events.forEach(evt => {
+      document.addEventListener(evt, () => this.onActivity(), { passive: true, capture: true });
+    });
+    // Also use Page Visibility API
+    document.addEventListener('visibilitychange', () => {
+      if (document.hidden) {
+        this.goIdle();
+      } else {
+        this.goActive();
+      }
+    });
+  }
+
+  onActivity() {
+    if (this.isIdle) {
+      this.goActive();
+    }
+    this.resetTimer();
+  }
+
+  resetTimer() {
+    if (this.timer) clearTimeout(this.timer);
+    this.timer = setTimeout(() => this.goIdle(), this.idleTimeout);
+  }
+
+  goIdle() {
+    if (this.isIdle) return;
+    this.isIdle = true;
+    console.info('[Idle] User inactive - pausing background tasks');
+    this.notify('idle');
+    document.body.classList.add('user-idle');
+  }
+
+  goActive() {
+    if (!this.isIdle) return;
+    this.isIdle = false;
+    console.info('[Idle] User active - resuming background tasks');
+    this.notify('active');
+    document.body.classList.remove('user-idle');
+    this.resetTimer();
+  }
+
+  onIdle(callback) {
+    this.callbacks.idle.push(callback);
+    return () => {
+      const i = this.callbacks.idle.indexOf(callback);
+      if (i > -1) this.callbacks.idle.splice(i, 1);
+    };
+  }
+
+  onActive(callback) {
+    this.callbacks.active.push(callback);
+    return () => {
+      const i = this.callbacks.active.indexOf(callback);
+      if (i > -1) this.callbacks.active.splice(i, 1);
+    };
+  }
+
+  notify(type) {
+    this.callbacks[type].forEach(cb => {
+      try { cb(); } catch (e) { console.error('[Idle] Callback error:', e); }
+    });
+  }
+
+  dispose() {
+    if (this.timer) clearTimeout(this.timer);
+    this.callbacks = { idle: [], active: [] };
+  }
+}

ui/utils/keyboard-shortcuts.js

@@ -0,0 +1,168 @@
+// Keyboard Shortcuts System
+// Press '?' to show help overlay, number keys to switch tabs, etc.
+
+export class KeyboardShortcuts {
+  constructor(app) {
+    this.app = app;
+    this.shortcuts = new Map();
+    this.helpVisible = false;
+    this.enabled = true;
+    this.overlay = null;
+    this.registerDefaults();
+  }
+
+  registerDefaults() {
+    this.register('?', 'Show keyboard shortcuts', () => this.toggleHelp());
+    this.register('Escape', 'Close overlay / dialog', () => this.closeAll());
+    this.register('1', 'Switch to Dashboard tab', () => this.switchTab('dashboard'));
+    this.register('2', 'Switch to Hardware tab', () => this.switchTab('hardware'));
+    this.register('3', 'Switch to Live Demo tab', () => this.switchTab('demo'));
+    this.register('4', 'Switch to Architecture tab', () => this.switchTab('architecture'));
+    this.register('5', 'Switch to Performance tab', () => this.switchTab('performance'));
+    this.register('6', 'Switch to Applications tab', () => this.switchTab('applications'));
+    this.register('7', 'Switch to Sensing tab', () => this.switchTab('sensing'));
+    this.register('8', 'Switch to Training tab', () => this.switchTab('training'));
+    this.register('p', 'Toggle performance monitor', () => this.togglePerfMonitor());
+    this.register('t', 'Toggle dark/light theme', () => this.toggleTheme());
+  }
+
+  register(key, description, handler) {
+    this.shortcuts.set(key, { description, handler });
+  }
+
+  init() {
+    document.addEventListener('keydown', (e) => this.handleKeydown(e));
+    this.createOverlay();
+  }
+
+  handleKeydown(e) {
+    if (!this.enabled) return;
+
+    // Ignore when typing in inputs
+    const tag = e.target.tagName.toLowerCase();
+    if (tag === 'input' || tag === 'textarea' || tag === 'select' || e.target.isContentEditable) {
+      if (e.key === 'Escape') {
+        e.target.blur();
+      }
+      return;
+    }
+
+    // Ignore modified keys (except shift for '?')
+    if (e.ctrlKey || e.altKey || e.metaKey) return;
+
+    const shortcut = this.shortcuts.get(e.key);
+    if (shortcut) {
+      e.preventDefault();
+      shortcut.handler();
+    }
+  }
+
+  switchTab(tabId) {
+    const tabManager = this.app?.getComponent?.('tabManager');
+    if (tabManager) {
+      tabManager.switchToTab(tabId);
+    }
+  }
+
+  togglePerfMonitor() {
+    const event = new CustomEvent('toggle-perf-monitor');
+    document.dispatchEvent(event);
+  }
+
+  toggleTheme() {
+    const event = new CustomEvent('toggle-theme');
+    document.dispatchEvent(event);
+  }
+
+  closeAll() {
+    if (this.helpVisible) {
+      this.hideHelp();
+    }
+  }
+
+  createOverlay() {
+    this.overlay = document.createElement('div');
+    this.overlay.className = 'shortcuts-overlay';
+    this.overlay.setAttribute('role', 'dialog');
+    this.overlay.setAttribute('aria-label', 'Keyboard shortcuts');
+    this.overlay.setAttribute('aria-modal', 'true');
+    this.overlay.innerHTML = this.buildHelpHTML();
+    this.overlay.addEventListener('click', (e) => {
+      if (e.target === this.overlay) this.hideHelp();
+    });
+    document.body.appendChild(this.overlay);
+  }
+
+  buildHelpHTML() {
+    const groups = [
+      {
+        title: 'Navigation',
+        items: Array.from(this.shortcuts.entries())
+          .filter(([key]) => /^[1-8]$/.test(key))
+      },
+      {
+        title: 'Actions',
+        items: Array.from(this.shortcuts.entries())
+          .filter(([key]) => /^[a-z]$/.test(key))
+      },
+      {
+        title: 'General',
+        items: Array.from(this.shortcuts.entries())
+          .filter(([key]) => !/^[1-8a-z]$/.test(key))
+      }
+    ];
+
+    return `
+      <div class="shortcuts-panel">
+        <div class="shortcuts-header">
+          <h2>Keyboard Shortcuts</h2>
+          <button class="shortcuts-close" aria-label="Close">&times;</button>
+        </div>
+        <div class="shortcuts-body">
+          ${groups.map(group => `
+            <div class="shortcuts-group">
+              <h3>${group.title}</h3>
+              ${group.items.map(([key, { description }]) => `
+                <div class="shortcut-row">
+                  <kbd>${this.formatKey(key)}</kbd>
+                  <span>${description}</span>
+                </div>
+              `).join('')}
+            </div>
+          `).join('')}
+        </div>
+      </div>
+    `;
+  }
+
+  formatKey(key) {
+    const map = { Escape: 'Esc', '?': '?' };
+    return map[key] || key.toUpperCase();
+  }
+
+  toggleHelp() {
+    this.helpVisible ? this.hideHelp() : this.showHelp();
+  }
+
+  showHelp() {
+    this.overlay.classList.add('visible');
+    this.helpVisible = true;
+    // Focus close button
+    const closeBtn = this.overlay.querySelector('.shortcuts-close');
+    if (closeBtn) {
+      closeBtn.onclick = () => this.hideHelp();
+      closeBtn.focus();
+    }
+  }
+
+  hideHelp() {
+    this.overlay.classList.remove('visible');
+    this.helpVisible = false;
+  }
+
+  dispose() {
+    if (this.overlay?.parentNode) {
+      this.overlay.parentNode.removeChild(this.overlay);
+    }
+  }
+}

ui/utils/mobile-nav.js

@@ -0,0 +1,171 @@
+// Mobile Navigation - Hamburger menu for small screens
+// Replaces wrapped tab bar with a slide-out drawer on mobile
+
+export class MobileNav {
+  constructor() {
+    this.drawer = null;
+    this.backdrop = null;
+    this.hamburger = null;
+    this.isOpen = false;
+    this.mql = window.matchMedia('(max-width: 768px)');
+  }
+
+  init() {
+    this.createHamburger();
+    this.createDrawer();
+    this.bindEvents();
+    this.onMediaChange(this.mql);
+  }
+
+  createHamburger() {
+    this.hamburger = document.createElement('button');
+    this.hamburger.className = 'mobile-hamburger';
+    this.hamburger.setAttribute('aria-label', 'Open navigation menu');
+    this.hamburger.setAttribute('aria-expanded', 'false');
+    this.hamburger.innerHTML = `
+      <span class="hamburger-line"></span>
+      <span class="hamburger-line"></span>
+      <span class="hamburger-line"></span>
+    `;
+    this.hamburger.addEventListener('click', () => this.toggle());
+
+    const header = document.querySelector('.header');
+    if (header) {
+      header.style.position = 'relative';
+      header.appendChild(this.hamburger);
+    }
+  }
+
+  createDrawer() {
+    // Backdrop
+    this.backdrop = document.createElement('div');
+    this.backdrop.className = 'mobile-nav-backdrop';
+    this.backdrop.addEventListener('click', () => this.close());
+    document.body.appendChild(this.backdrop);
+
+    // Drawer
+    this.drawer = document.createElement('nav');
+    this.drawer.className = 'mobile-nav-drawer';
+    this.drawer.setAttribute('role', 'navigation');
+    this.drawer.setAttribute('aria-label', 'Mobile navigation');
+
+    // Clone tabs into drawer
+    const tabs = document.querySelectorAll('.nav-tabs .nav-tab');
+    const list = document.createElement('div');
+    list.className = 'mobile-nav-list';
+
+    tabs.forEach(tab => {
+      const item = document.createElement(tab.tagName === 'A' ? 'a' : 'button');
+      item.className = 'mobile-nav-item';
+      item.textContent = tab.textContent.trim();
+
+      if (tab.tagName === 'A') {
+        item.href = tab.href;
+      } else {
+        const tabId = tab.getAttribute('data-tab');
+        item.dataset.tab = tabId;
+        if (tab.classList.contains('active')) {
+          item.classList.add('active');
+        }
+        item.addEventListener('click', () => {
+          // Activate tab via the original tab manager
+          tab.click();
+          this.close();
+          // Update active states in drawer
+          list.querySelectorAll('.mobile-nav-item').forEach(i => i.classList.remove('active'));
+          item.classList.add('active');
+        });
+      }
+
+      list.appendChild(item);
+    });
+
+    this.drawer.appendChild(list);
+
+    // Keyboard hint at bottom
+    const hint = document.createElement('div');
+    hint.className = 'mobile-nav-hint';
+    hint.textContent = 'Tip: Press Ctrl+K for command palette';
+    this.drawer.appendChild(hint);
+
+    document.body.appendChild(this.drawer);
+
+    // Sync active tab when tabs change externally
+    const observer = new MutationObserver(() => {
+      const activeTab = document.querySelector('.nav-tabs .nav-tab.active');
+      if (activeTab) {
+        const activeId = activeTab.getAttribute('data-tab');
+        list.querySelectorAll('.mobile-nav-item').forEach(item => {
+          item.classList.toggle('active', item.dataset.tab === activeId);
+        });
+      }
+    });
+
+    const navTabs = document.querySelector('.nav-tabs');
+    if (navTabs) {
+      observer.observe(navTabs, { attributes: true, subtree: true, attributeFilter: ['class'] });
+    }
+  }
+
+  bindEvents() {
+    // Listen for media query changes
+    this.mql.addEventListener('change', (e) => this.onMediaChange(e));
+
+    // Close on escape
+    document.addEventListener('keydown', (e) => {
+      if (e.key === 'Escape' && this.isOpen) this.close();
+    });
+
+    // Swipe to close
+    let touchStartX = 0;
+    this.drawer.addEventListener('touchstart', (e) => {
+      touchStartX = e.touches[0].clientX;
+    }, { passive: true });
+    this.drawer.addEventListener('touchend', (e) => {
+      const deltaX = e.changedTouches[0].clientX - touchStartX;
+      if (deltaX < -50) this.close(); // Swipe left to close
+    }, { passive: true });
+  }
+
+  onMediaChange(mql) {
+    const isMobile = mql.matches !== undefined ? mql.matches : mql;
+    document.body.classList.toggle('mobile-nav-active', isMobile);
+
+    if (!isMobile && this.isOpen) {
+      this.close();
+    }
+  }
+
+  toggle() {
+    this.isOpen ? this.close() : this.open();
+  }
+
+  open() {
+    this.isOpen = true;
+    this.drawer.classList.add('open');
+    this.backdrop.classList.add('open');
+    this.hamburger.classList.add('open');
+    this.hamburger.setAttribute('aria-expanded', 'true');
+    document.body.style.overflow = 'hidden';
+
+    // Focus first item
+    const first = this.drawer.querySelector('.mobile-nav-item');
+    if (first) first.focus();
+  }
+
+  close() {
+    this.isOpen = false;
+    this.drawer.classList.remove('open');
+    this.backdrop.classList.remove('open');
+    this.hamburger.classList.remove('open');
+    this.hamburger.setAttribute('aria-expanded', 'false');
+    document.body.style.overflow = '';
+  }
+
+  dispose() {
+    this.close();
+    this.hamburger?.remove();
+    this.drawer?.remove();
+    this.backdrop?.remove();
+  }
+}

ui/utils/notification-center.js

@@ -0,0 +1,233 @@
+// Notification Center - Bell icon with event history
+// Persists notifications across page views (sessionStorage)
+
+export class NotificationCenter {
+  constructor() {
+    this.button = null;
+    this.panel = null;
+    this.notifications = [];
+    this.maxNotifications = 50;
+    this.isOpen = false;
+    this.unreadCount = 0;
+    this.storageKey = 'ruview-notifications';
+  }
+
+  init() {
+    this.loadFromStorage();
+    this.createButton();
+    this.createPanel();
+    this.interceptEvents();
+  }
+
+  createButton() {
+    this.button = document.createElement('button');
+    this.button.className = 'notif-bell';
+    this.button.setAttribute('aria-label', 'Notifications');
+    this.button.setAttribute('title', 'Notifications');
+    this.button.innerHTML = `
+      <svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
+        <path d="M18 8A6 6 0 0 0 6 8c0 7-3 9-3 9h18s-3-2-3-9"/>
+        <path d="M13.73 21a2 2 0 0 1-3.46 0"/>
+      </svg>
+      <span class="notif-badge" style="display:none">0</span>
+    `;
+    this.button.addEventListener('click', () => this.toggle());
+
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) {
+      headerInfo.prepend(this.button);
+    }
+
+    this.updateBadge();
+  }
+
+  createPanel() {
+    this.panel = document.createElement('div');
+    this.panel.className = 'notif-panel';
+    this.panel.setAttribute('role', 'region');
+    this.panel.setAttribute('aria-label', 'Notification history');
+    this.panel.innerHTML = `
+      <div class="notif-panel-header">
+        <span>Notifications</span>
+        <div class="notif-panel-actions">
+          <button class="notif-mark-read" title="Mark all read">Mark read</button>
+          <button class="notif-clear" title="Clear all">Clear</button>
+        </div>
+      </div>
+      <div class="notif-panel-body"></div>
+    `;
+
+    this.panel.querySelector('.notif-mark-read').addEventListener('click', () => {
+      this.notifications.forEach(n => n.read = true);
+      this.unreadCount = 0;
+      this.updateBadge();
+      this.renderList();
+      this.saveToStorage();
+    });
+
+    this.panel.querySelector('.notif-clear').addEventListener('click', () => {
+      this.notifications = [];
+      this.unreadCount = 0;
+      this.updateBadge();
+      this.renderList();
+      this.saveToStorage();
+    });
+
+    document.body.appendChild(this.panel);
+
+    // Close on outside click
+    document.addEventListener('click', (e) => {
+      if (this.isOpen && !this.panel.contains(e.target) && !this.button.contains(e.target)) {
+        this.close();
+      }
+    });
+  }
+
+  interceptEvents() {
+    // Listen for toast events to capture as notifications
+    const origInfo = console.info;
+    console.info = (...args) => {
+      origInfo.apply(console, args);
+      const msg = args.map(String).join(' ');
+      // Only capture app-relevant messages
+      if (msg.includes('[WS-') || msg.includes('Backend') || msg.includes('Service worker') ||
+          msg.includes('connected') || msg.includes('initialized') || msg.includes('sensing')) {
+        this.add(msg, 'info');
+      }
+    };
+
+    const origWarn = console.warn;
+    console.warn = (...args) => {
+      origWarn.apply(console, args);
+      const msg = args.map(String).join(' ');
+      if (msg.includes('Backend') || msg.includes('unavailable') || msg.includes('[WS-') ||
+          msg.includes('connection') || msg.includes('timeout')) {
+        this.add(msg, 'warning');
+      }
+    };
+
+    const origError = console.error;
+    console.error = (...args) => {
+      origError.apply(console, args);
+      const msg = args.map(String).join(' ');
+      if (msg.includes('Failed') || msg.includes('Error') || msg.includes('error')) {
+        this.add(msg, 'error');
+      }
+    };
+  }
+
+  add(message, type = 'info') {
+    const notification = {
+      id: Date.now() + Math.random(),
+      message: this.truncate(message, 200),
+      type,
+      time: new Date().toISOString(),
+      read: false
+    };
+
+    this.notifications.unshift(notification);
+    if (this.notifications.length > this.maxNotifications) {
+      this.notifications.pop();
+    }
+
+    this.unreadCount++;
+    this.updateBadge();
+    this.saveToStorage();
+
+    if (this.isOpen) {
+      this.renderList();
+    }
+  }
+
+  toggle() {
+    this.isOpen ? this.close() : this.open();
+  }
+
+  open() {
+    this.isOpen = true;
+    this.panel.classList.add('open');
+    this.renderList();
+  }
+
+  close() {
+    this.isOpen = false;
+    this.panel.classList.remove('open');
+  }
+
+  renderList() {
+    const body = this.panel.querySelector('.notif-panel-body');
+    if (this.notifications.length === 0) {
+      body.innerHTML = '<div class="notif-empty">No notifications</div>';
+      return;
+    }
+
+    body.innerHTML = this.notifications.map(n => {
+      const time = new Date(n.time);
+      const ago = this.timeAgo(time);
+      return `
+        <div class="notif-item notif-${n.type} ${n.read ? 'read' : 'unread'}">
+          <div class="notif-item-dot"></div>
+          <div class="notif-item-content">
+            <span class="notif-item-msg">${this.escapeHtml(n.message)}</span>
+            <span class="notif-item-time">${ago}</span>
+          </div>
+        </div>
+      `;
+    }).join('');
+  }
+
+  updateBadge() {
+    const badge = this.button?.querySelector('.notif-badge');
+    if (!badge) return;
+    if (this.unreadCount > 0) {
+      badge.textContent = this.unreadCount > 99 ? '99+' : this.unreadCount;
+      badge.style.display = '';
+    } else {
+      badge.style.display = 'none';
+    }
+  }
+
+  timeAgo(date) {
+    const seconds = Math.floor((new Date() - date) / 1000);
+    if (seconds < 60) return 'just now';
+    if (seconds < 3600) return `${Math.floor(seconds / 60)}m ago`;
+    if (seconds < 86400) return `${Math.floor(seconds / 3600)}h ago`;
+    return date.toLocaleDateString();
+  }
+
+  truncate(str, max) {
+    return str.length > max ? str.slice(0, max) + '...' : str;
+  }
+
+  escapeHtml(text) {
+    const d = document.createElement('div');
+    d.textContent = text;
+    return d.innerHTML;
+  }
+
+  loadFromStorage() {
+    try {
+      const data = sessionStorage.getItem(this.storageKey);
+      if (data) {
+        const parsed = JSON.parse(data);
+        this.notifications = parsed.notifications || [];
+        this.unreadCount = parsed.unreadCount || 0;
+      }
+    } catch { /* noop */ }
+  }
+
+  saveToStorage() {
+    try {
+      sessionStorage.setItem(this.storageKey, JSON.stringify({
+        notifications: this.notifications.slice(0, 20),
+        unreadCount: this.unreadCount
+      }));
+    } catch { /* noop */ }
+  }
+
+  dispose() {
+    this.close();
+    this.button?.remove();
+    this.panel?.remove();
+  }
+}

ui/utils/onboarding.js

@@ -0,0 +1,192 @@
+// Onboarding Tour - Interactive first-run walkthrough
+// Shows on first visit, can be re-triggered from command palette or help
+
+const STORAGE_KEY = 'ruview-onboarding-done';
+
+export class Onboarding {
+  constructor(app) {
+    this.app = app;
+    this.overlay = null;
+    this.currentStep = 0;
+    this.steps = [];
+    this.active = false;
+  }
+
+  init() {
+    this.defineSteps();
+    document.addEventListener('start-onboarding', () => this.start());
+
+    // Auto-start on first visit
+    if (!this.isDone()) {
+      // Delay to let the app render first
+      setTimeout(() => this.start(), 800);
+    }
+  }
+
+  defineSteps() {
+    this.steps = [
+      {
+        title: 'Welcome to RuView',
+        text: 'WiFi-based human pose estimation that works through walls. Let\'s take a quick tour of the dashboard.',
+        target: null, // No highlight, centered
+        position: 'center'
+      },
+      {
+        title: 'System Status',
+        text: 'Monitor your WiFi sensing hardware and API server status in real time. Green means everything is connected.',
+        target: '.live-status-panel',
+        position: 'bottom'
+      },
+      {
+        title: 'Live Demo',
+        text: 'Switch to the Live Demo tab to see real-time pose detection. Connect an ESP32 sensor or use the built-in simulation.',
+        target: '[data-tab="demo"]',
+        position: 'bottom'
+      },
+      {
+        title: 'Sensing Visualization',
+        text: 'The Sensing tab shows a 3D Gaussian splat visualization of WiFi signal fields, with real-time metrics.',
+        target: '[data-tab="sensing"]',
+        position: 'bottom'
+      },
+      {
+        title: 'Keyboard Shortcuts',
+        text: 'Press ? for shortcuts, Ctrl+K for the command palette, or use number keys 1-8 to switch tabs quickly.',
+        target: null,
+        position: 'center'
+      },
+      {
+        title: 'You\'re all set!',
+        text: 'Explore the dashboard, connect hardware, or start the demo. You can replay this tour anytime from the command palette.',
+        target: null,
+        position: 'center'
+      }
+    ];
+  }
+
+  isDone() {
+    try { return localStorage.getItem(STORAGE_KEY) === 'true'; }
+    catch { return false; }
+  }
+
+  markDone() {
+    try { localStorage.setItem(STORAGE_KEY, 'true'); }
+    catch { /* noop */ }
+  }
+
+  start() {
+    this.currentStep = 0;
+    this.active = true;
+    this.createOverlay();
+    this.showStep();
+  }
+
+  createOverlay() {
+    // Remove existing if any
+    this.removeOverlay();
+
+    this.overlay = document.createElement('div');
+    this.overlay.className = 'onboarding-overlay';
+    this.overlay.setAttribute('role', 'dialog');
+    this.overlay.setAttribute('aria-label', 'Onboarding tour');
+    this.overlay.setAttribute('aria-modal', 'true');
+    document.body.appendChild(this.overlay);
+  }
+
+  showStep() {
+    if (this.currentStep >= this.steps.length) {
+      this.finish();
+      return;
+    }
+
+    const step = this.steps[this.currentStep];
+    const total = this.steps.length;
+    const isFirst = this.currentStep === 0;
+    const isLast = this.currentStep === total - 1;
+
+    // Clear highlight
+    document.querySelectorAll('.onboarding-highlight').forEach(el => el.classList.remove('onboarding-highlight'));
+
+    // Highlight target
+    let targetRect = null;
+    if (step.target) {
+      const targetEl = document.querySelector(step.target);
+      if (targetEl) {
+        targetEl.classList.add('onboarding-highlight');
+        targetRect = targetEl.getBoundingClientRect();
+      }
+    }
+
+    this.overlay.innerHTML = `
+      <div class="onboarding-backdrop"></div>
+      <div class="onboarding-tooltip ${step.position}" ${targetRect ? `style="${this.positionTooltip(targetRect, step.position)}"` : ''}>
+        <div class="onboarding-progress">
+          ${Array.from({ length: total }, (_, i) =>
+            `<span class="onboarding-dot ${i === this.currentStep ? 'active' : i < this.currentStep ? 'done' : ''}"></span>`
+          ).join('')}
+        </div>
+        <h3 class="onboarding-title">${step.title}</h3>
+        <p class="onboarding-text">${step.text}</p>
+        <div class="onboarding-actions">
+          <button class="onboarding-skip">Skip tour</button>
+          <div class="onboarding-nav">
+            ${!isFirst ? '<button class="onboarding-prev">Back</button>' : ''}
+            <button class="onboarding-next">${isLast ? 'Get started' : 'Next'}</button>
+          </div>
+        </div>
+      </div>
+    `;
+
+    // Bind events
+    this.overlay.querySelector('.onboarding-skip').addEventListener('click', () => this.finish());
+    this.overlay.querySelector('.onboarding-next').addEventListener('click', () => {
+      this.currentStep++;
+      this.showStep();
+    });
+    const prevBtn = this.overlay.querySelector('.onboarding-prev');
+    if (prevBtn) {
+      prevBtn.addEventListener('click', () => {
+        this.currentStep--;
+        this.showStep();
+      });
+    }
+    this.overlay.querySelector('.onboarding-backdrop').addEventListener('click', () => this.finish());
+
+    // Focus next button
+    this.overlay.querySelector('.onboarding-next').focus();
+
+    // Escape to close
+    this._escHandler = (e) => { if (e.key === 'Escape') this.finish(); };
+    document.addEventListener('keydown', this._escHandler);
+  }
+
+  positionTooltip(rect, position) {
+    const margin = 12;
+    if (position === 'bottom') {
+      return `left: ${Math.max(16, rect.left + rect.width / 2 - 180)}px; top: ${rect.bottom + margin}px;`;
+    }
+    if (position === 'top') {
+      return `left: ${Math.max(16, rect.left + rect.width / 2 - 180)}px; bottom: ${window.innerHeight - rect.top + margin}px;`;
+    }
+    return '';
+  }
+
+  finish() {
+    this.active = false;
+    this.markDone();
+    this.removeOverlay();
+    document.querySelectorAll('.onboarding-highlight').forEach(el => el.classList.remove('onboarding-highlight'));
+    if (this._escHandler) document.removeEventListener('keydown', this._escHandler);
+  }
+
+  removeOverlay() {
+    if (this.overlay?.parentNode) {
+      this.overlay.parentNode.removeChild(this.overlay);
+      this.overlay = null;
+    }
+  }
+
+  dispose() {
+    this.finish();
+  }
+}

ui/utils/perf-monitor.js

@@ -0,0 +1,216 @@
+// Performance Monitor Overlay
+// Shows FPS, memory usage, and network latency in real-time
+
+export class PerfMonitor {
+  constructor() {
+    this.visible = false;
+    this.panel = null;
+    this.frames = [];
+    this.lastFrameTime = 0;
+    this.rafId = null;
+    this.latencyHistory = [];
+    this.maxHistory = 60;
+  }
+
+  init() {
+    this.createPanel();
+    document.addEventListener('toggle-perf-monitor', () => this.toggle());
+  }
+
+  createPanel() {
+    this.panel = document.createElement('div');
+    this.panel.className = 'perf-monitor';
+    this.panel.setAttribute('role', 'status');
+    this.panel.setAttribute('aria-label', 'Performance monitor');
+    this.panel.innerHTML = `
+      <div class="perf-header">
+        <span>PERF</span>
+        <button class="perf-close" aria-label="Close performance monitor">&times;</button>
+      </div>
+      <div class="perf-metrics">
+        <div class="perf-row">
+          <span class="perf-label">FPS</span>
+          <span class="perf-value" data-metric="fps">--</span>
+          <canvas class="perf-spark" data-spark="fps" width="60" height="20"></canvas>
+        </div>
+        <div class="perf-row">
+          <span class="perf-label">MEM</span>
+          <span class="perf-value" data-metric="memory">--</span>
+          <canvas class="perf-spark" data-spark="memory" width="60" height="20"></canvas>
+        </div>
+        <div class="perf-row">
+          <span class="perf-label">LAT</span>
+          <span class="perf-value" data-metric="latency">--</span>
+          <canvas class="perf-spark" data-spark="latency" width="60" height="20"></canvas>
+        </div>
+        <div class="perf-row">
+          <span class="perf-label">DOM</span>
+          <span class="perf-value" data-metric="dom">--</span>
+        </div>
+      </div>
+    `;
+
+    this.panel.querySelector('.perf-close').addEventListener('click', () => this.hide());
+
+    // Make it draggable
+    this.makeDraggable();
+
+    document.body.appendChild(this.panel);
+
+    this.sparkData = {
+      fps: [],
+      memory: [],
+      latency: []
+    };
+  }
+
+  makeDraggable() {
+    const header = this.panel.querySelector('.perf-header');
+    let dragging = false;
+    let offsetX = 0;
+    let offsetY = 0;
+
+    header.addEventListener('mousedown', (e) => {
+      if (e.target.tagName === 'BUTTON') return;
+      dragging = true;
+      offsetX = e.clientX - this.panel.offsetLeft;
+      offsetY = e.clientY - this.panel.offsetTop;
+      header.style.cursor = 'grabbing';
+    });
+
+    document.addEventListener('mousemove', (e) => {
+      if (!dragging) return;
+      this.panel.style.left = `${e.clientX - offsetX}px`;
+      this.panel.style.top = `${e.clientY - offsetY}px`;
+      this.panel.style.right = 'auto';
+      this.panel.style.bottom = 'auto';
+    });
+
+    document.addEventListener('mouseup', () => {
+      dragging = false;
+      header.style.cursor = 'grab';
+    });
+  }
+
+  toggle() {
+    this.visible ? this.hide() : this.show();
+  }
+
+  show() {
+    this.panel.classList.add('visible');
+    this.visible = true;
+    this.lastFrameTime = performance.now();
+    this.tick();
+  }
+
+  hide() {
+    this.panel.classList.remove('visible');
+    this.visible = false;
+    if (this.rafId) {
+      cancelAnimationFrame(this.rafId);
+      this.rafId = null;
+    }
+  }
+
+  tick() {
+    if (!this.visible) return;
+
+    const now = performance.now();
+    this.frames.push(now);
+
+    // Keep only last second of frames
+    while (this.frames.length > 0 && this.frames[0] < now - 1000) {
+      this.frames.shift();
+    }
+
+    const fps = this.frames.length;
+    this.updateMetric('fps', fps, 'fps');
+    this.pushSpark('fps', fps, 0, 120);
+
+    // Memory (if available)
+    if (performance.memory) {
+      const mb = Math.round(performance.memory.usedJSHeapSize / (1024 * 1024));
+      const total = Math.round(performance.memory.jsHeapSizeLimit / (1024 * 1024));
+      this.updateMetric('memory', `${mb}MB`, mb > total * 0.8 ? 'warning' : 'ok');
+      this.pushSpark('memory', mb, 0, total);
+    } else {
+      this.updateMetric('memory', 'N/A', 'na');
+    }
+
+    // DOM node count
+    const domNodes = document.querySelectorAll('*').length;
+    this.updateMetric('dom', domNodes, domNodes > 3000 ? 'warning' : 'ok');
+
+    // Estimate latency from last navigation or resource timing
+    this.measureLatency();
+
+    this.rafId = requestAnimationFrame(() => this.tick());
+  }
+
+  measureLatency() {
+    const entries = performance.getEntriesByType('resource');
+    if (entries.length > 0) {
+      const last = entries[entries.length - 1];
+      const latency = Math.round(last.responseEnd - last.requestStart);
+      if (latency > 0 && latency < 30000) {
+        this.latencyHistory.push(latency);
+        if (this.latencyHistory.length > this.maxHistory) {
+          this.latencyHistory.shift();
+        }
+        const avg = Math.round(
+          this.latencyHistory.reduce((a, b) => a + b, 0) / this.latencyHistory.length
+        );
+        this.updateMetric('latency', `${avg}ms`, avg > 500 ? 'warning' : 'ok');
+        this.pushSpark('latency', avg, 0, 1000);
+      }
+    }
+  }
+
+  updateMetric(metric, value, status) {
+    const el = this.panel.querySelector(`[data-metric="${metric}"]`);
+    if (!el) return;
+    el.textContent = value;
+    el.className = `perf-value perf-${status}`;
+  }
+
+  pushSpark(name, value, min, max) {
+    const data = this.sparkData[name];
+    if (!data) return;
+    data.push(value);
+    if (data.length > 60) data.shift();
+    this.drawSpark(name, data, min, max);
+  }
+
+  drawSpark(name, data, min, max) {
+    const canvas = this.panel.querySelector(`[data-spark="${name}"]`);
+    if (!canvas) return;
+    const ctx = canvas.getContext('2d');
+    const w = canvas.width;
+    const h = canvas.height;
+
+    ctx.clearRect(0, 0, w, h);
+
+    if (data.length < 2) return;
+
+    const range = max - min || 1;
+    ctx.beginPath();
+    ctx.strokeStyle = 'rgba(50, 184, 198, 0.8)';
+    ctx.lineWidth = 1.5;
+
+    data.forEach((val, i) => {
+      const x = (i / (data.length - 1)) * w;
+      const y = h - ((val - min) / range) * h;
+      if (i === 0) ctx.moveTo(x, y);
+      else ctx.lineTo(x, y);
+    });
+
+    ctx.stroke();
+  }
+
+  dispose() {
+    this.hide();
+    if (this.panel?.parentNode) {
+      this.panel.parentNode.removeChild(this.panel);
+    }
+  }
+}

ui/utils/quick-settings.js

@@ -0,0 +1,191 @@
+// Quick Settings Panel - Centralized configuration for all UI features
+// Accessible via gear icon in header
+
+export class QuickSettings {
+  constructor(app) {
+    this.app = app;
+    this.button = null;
+    this.panel = null;
+    this.isOpen = false;
+  }
+
+  init() {
+    this.createButton();
+    this.createPanel();
+  }
+
+  createButton() {
+    this.button = document.createElement('button');
+    this.button.className = 'settings-gear';
+    this.button.setAttribute('aria-label', 'Settings');
+    this.button.setAttribute('title', 'Quick settings');
+    this.button.innerHTML = `<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="3"/><path d="M19.4 15a1.65 1.65 0 0 0 .33 1.82l.06.06a2 2 0 0 1 0 2.83 2 2 0 0 1-2.83 0l-.06-.06a1.65 1.65 0 0 0-1.82-.33 1.65 1.65 0 0 0-1 1.51V21a2 2 0 0 1-2 2 2 2 0 0 1-2-2v-.09A1.65 1.65 0 0 0 9 19.4a1.65 1.65 0 0 0-1.82.33l-.06.06a2 2 0 0 1-2.83 0 2 2 0 0 1 0-2.83l.06-.06A1.65 1.65 0 0 0 4.68 15a1.65 1.65 0 0 0-1.51-1H3a2 2 0 0 1-2-2 2 2 0 0 1 2-2h.09A1.65 1.65 0 0 0 4.6 9a1.65 1.65 0 0 0-.33-1.82l-.06-.06a2 2 0 0 1 0-2.83 2 2 0 0 1 2.83 0l.06.06A1.65 1.65 0 0 0 9 4.68a1.65 1.65 0 0 0 1-1.51V3a2 2 0 0 1 2-2 2 2 0 0 1 2 2v.09a1.65 1.65 0 0 0 1 1.51 1.65 1.65 0 0 0 1.82-.33l.06-.06a2 2 0 0 1 2.83 0 2 2 0 0 1 0 2.83l-.06.06A1.65 1.65 0 0 0 19.4 9a1.65 1.65 0 0 0 1.51 1H21a2 2 0 0 1 2 2 2 2 0 0 1-2 2h-.09a1.65 1.65 0 0 0-1.51 1z"/></svg>`;
+
+    this.button.addEventListener('click', () => this.toggle());
+
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) headerInfo.appendChild(this.button);
+  }
+
+  createPanel() {
+    this.panel = document.createElement('div');
+    this.panel.className = 'quick-settings-panel';
+    this.panel.setAttribute('role', 'dialog');
+    this.panel.setAttribute('aria-label', 'Quick settings');
+
+    this.panel.innerHTML = `
+      <div class="qs-header">
+        <h3>Settings</h3>
+        <button class="qs-close" aria-label="Close">&times;</button>
+      </div>
+      <div class="qs-body">
+        <div class="qs-section">
+          <div class="qs-section-title">Display</div>
+          <label class="qs-toggle">
+            <span>Reduced motion</span>
+            <input type="checkbox" id="qs-reduced-motion" ${this.prefersReducedMotion() ? 'checked' : ''}>
+            <span class="qs-switch"></span>
+          </label>
+          <label class="qs-toggle">
+            <span>High contrast</span>
+            <input type="checkbox" id="qs-high-contrast">
+            <span class="qs-switch"></span>
+          </label>
+          <label class="qs-toggle">
+            <span>Compact mode</span>
+            <input type="checkbox" id="qs-compact" ${this.getSetting('compact') ? 'checked' : ''}>
+            <span class="qs-switch"></span>
+          </label>
+        </div>
+        <div class="qs-section">
+          <div class="qs-section-title">Monitoring</div>
+          <label class="qs-toggle">
+            <span>Health polling</span>
+            <input type="checkbox" id="qs-health-polling" checked>
+            <span class="qs-switch"></span>
+          </label>
+          <label class="qs-toggle">
+            <span>Auto-reconnect</span>
+            <input type="checkbox" id="qs-auto-reconnect" checked>
+            <span class="qs-switch"></span>
+          </label>
+        </div>
+        <div class="qs-section">
+          <div class="qs-section-title">Data</div>
+          <div class="qs-row">
+            <span>Clear local data</span>
+            <button class="qs-btn-danger" id="qs-clear-data">Clear</button>
+          </div>
+          <div class="qs-row">
+            <span>Reset onboarding</span>
+            <button class="qs-btn" id="qs-reset-tour">Reset</button>
+          </div>
+        </div>
+      </div>
+    `;
+
+    // Bind events
+    this.panel.querySelector('.qs-close').addEventListener('click', () => this.close());
+
+    this.panel.querySelector('#qs-reduced-motion').addEventListener('change', (e) => {
+      document.body.classList.toggle('reduced-motion', e.target.checked);
+      this.saveSetting('reduced-motion', e.target.checked);
+    });
+
+    this.panel.querySelector('#qs-high-contrast').addEventListener('change', (e) => {
+      document.body.classList.toggle('high-contrast', e.target.checked);
+      this.saveSetting('high-contrast', e.target.checked);
+    });
+
+    this.panel.querySelector('#qs-compact').addEventListener('change', (e) => {
+      document.body.classList.toggle('compact-mode', e.target.checked);
+      this.saveSetting('compact', e.target.checked);
+    });
+
+    this.panel.querySelector('#qs-health-polling').addEventListener('change', (e) => {
+      const healthService = this.app?.components?.dashboard?.healthSubscription;
+      if (e.target.checked) {
+        // Resume would need import - just dispatch event
+        document.dispatchEvent(new CustomEvent('health-polling-toggle', { detail: true }));
+      } else {
+        document.dispatchEvent(new CustomEvent('health-polling-toggle', { detail: false }));
+      }
+    });
+
+    this.panel.querySelector('#qs-clear-data').addEventListener('click', () => {
+      try {
+        localStorage.clear();
+        sessionStorage.clear();
+      } catch { /* noop */ }
+      this.close();
+      window.location.reload();
+    });
+
+    this.panel.querySelector('#qs-reset-tour').addEventListener('click', () => {
+      try { localStorage.removeItem('ruview-onboarding-done'); } catch { /* noop */ }
+      this.close();
+      document.dispatchEvent(new CustomEvent('start-onboarding'));
+    });
+
+    document.body.appendChild(this.panel);
+
+    // Close on outside click
+    document.addEventListener('click', (e) => {
+      if (this.isOpen && !this.panel.contains(e.target) && !this.button.contains(e.target)) {
+        this.close();
+      }
+    });
+
+    // Apply saved settings on init
+    this.applySavedSettings();
+  }
+
+  applySavedSettings() {
+    if (this.getSetting('reduced-motion') || this.prefersReducedMotion()) {
+      document.body.classList.add('reduced-motion');
+      const cb = this.panel.querySelector('#qs-reduced-motion');
+      if (cb) cb.checked = true;
+    }
+    if (this.getSetting('high-contrast')) {
+      document.body.classList.add('high-contrast');
+      const cb = this.panel.querySelector('#qs-high-contrast');
+      if (cb) cb.checked = true;
+    }
+    if (this.getSetting('compact')) {
+      document.body.classList.add('compact-mode');
+    }
+  }
+
+  prefersReducedMotion() {
+    return window.matchMedia('(prefers-reduced-motion: reduce)').matches;
+  }
+
+  toggle() {
+    this.isOpen ? this.close() : this.open();
+  }
+
+  open() {
+    this.isOpen = true;
+    this.panel.classList.add('open');
+  }
+
+  close() {
+    this.isOpen = false;
+    this.panel.classList.remove('open');
+  }
+
+  getSetting(key) {
+    try { return JSON.parse(localStorage.getItem(`ruview-setting-${key}`)); }
+    catch { return null; }
+  }
+
+  saveSetting(key, value) {
+    try { localStorage.setItem(`ruview-setting-${key}`, JSON.stringify(value)); }
+    catch { /* noop */ }
+  }
+
+  dispose() {
+    this.button?.remove();
+    this.panel?.remove();
+  }
+}

ui/utils/router.js

@@ -0,0 +1,47 @@
+// Hash Router - Makes tabs bookmarkable and shareable
+// URL format: #dashboard, #demo, #sensing, etc.
+
+export class Router {
+  constructor(app) {
+    this.app = app;
+    this.validTabs = ['dashboard', 'hardware', 'demo', 'architecture', 'performance', 'applications', 'sensing', 'training'];
+  }
+
+  init() {
+    // Navigate to hash on load
+    this.onHashChange();
+
+    // Listen for hash changes (back/forward navigation)
+    window.addEventListener('hashchange', () => this.onHashChange());
+
+    // Update hash when tab changes
+    const tabManager = this.app?.getComponent?.('tabManager');
+    if (tabManager) {
+      tabManager.onTabChange((tabId) => {
+        this.setHash(tabId);
+      });
+    }
+  }
+
+  onHashChange() {
+    const hash = window.location.hash.replace('#', '').toLowerCase();
+    if (hash && this.validTabs.includes(hash)) {
+      const tabManager = this.app?.getComponent?.('tabManager');
+      if (tabManager && tabManager.getActiveTab() !== hash) {
+        tabManager.switchToTab(hash);
+      }
+    }
+  }
+
+  setHash(tabId) {
+    // Only update if different to avoid infinite loop
+    const current = window.location.hash.replace('#', '');
+    if (current !== tabId) {
+      history.replaceState(null, '', `#${tabId}`);
+    }
+  }
+
+  dispose() {
+    // No explicit cleanup needed - event listeners are on window
+  }
+}

ui/utils/screenshot.js

@@ -0,0 +1,160 @@
+// Screenshot Tool - Capture current tab view as PNG
+// Uses html2canvas-like approach with native Canvas API
+
+import { toastManager } from './toast.js';
+
+export class ScreenshotTool {
+  constructor() {
+    this.capturing = false;
+  }
+
+  init() {
+    document.addEventListener('take-screenshot', () => this.capture());
+  }
+
+  async capture() {
+    if (this.capturing) return;
+    this.capturing = true;
+
+    const activeTab = document.querySelector('.tab-content.active');
+    if (!activeTab) {
+      toastManager.warning('No active tab to capture');
+      this.capturing = false;
+      return;
+    }
+
+    try {
+      // Flash effect
+      this.flashEffect();
+
+      // Try native ClipboardItem API first (modern browsers)
+      if (typeof ClipboardItem !== 'undefined') {
+        await this.captureToClipboard(activeTab);
+        toastManager.success('Screenshot copied to clipboard', { duration: 3000 });
+      } else {
+        // Fallback: download as file
+        await this.captureToFile(activeTab);
+        toastManager.success('Screenshot saved as file', { duration: 3000 });
+      }
+    } catch (err) {
+      console.error('Screenshot failed:', err);
+      // Fallback: capture visible canvases + basic layout
+      try {
+        await this.captureCanvasFallback(activeTab);
+        toastManager.success('Screenshot saved (canvas only)', { duration: 3000 });
+      } catch {
+        toastManager.error('Screenshot failed. Try using browser\'s built-in screenshot tool.');
+      }
+    }
+
+    this.capturing = false;
+  }
+
+  async captureToClipboard(element) {
+    const canvas = await this.renderToCanvas(element);
+    const blob = await new Promise(resolve => canvas.toBlob(resolve, 'image/png'));
+    await navigator.clipboard.write([
+      new ClipboardItem({ 'image/png': blob })
+    ]);
+  }
+
+  async captureToFile(element) {
+    const canvas = await this.renderToCanvas(element);
+    const dataUrl = canvas.toDataURL('image/png');
+    const link = document.createElement('a');
+    link.href = dataUrl;
+    link.download = `ruview-screenshot-${this.timestamp()}.png`;
+    link.click();
+  }
+
+  async captureCanvasFallback(element) {
+    // Find any canvas elements and merge them
+    const canvases = element.querySelectorAll('canvas');
+    if (canvases.length === 0) throw new Error('No canvas elements found');
+
+    const firstCanvas = canvases[0];
+    const mergedCanvas = document.createElement('canvas');
+    mergedCanvas.width = firstCanvas.width || 800;
+    mergedCanvas.height = firstCanvas.height || 600;
+    const ctx = mergedCanvas.getContext('2d');
+
+    // Dark background
+    ctx.fillStyle = '#1f2121';
+    ctx.fillRect(0, 0, mergedCanvas.width, mergedCanvas.height);
+
+    canvases.forEach(c => {
+      try { ctx.drawImage(c, 0, 0); } catch { /* tainted canvas */ }
+    });
+
+    // Add timestamp watermark
+    ctx.fillStyle = 'rgba(255,255,255,0.3)';
+    ctx.font = '12px monospace';
+    ctx.fillText(`RuView - ${new Date().toLocaleString()}`, 10, mergedCanvas.height - 10);
+
+    const dataUrl = mergedCanvas.toDataURL('image/png');
+    const link = document.createElement('a');
+    link.href = dataUrl;
+    link.download = `ruview-screenshot-${this.timestamp()}.png`;
+    link.click();
+  }
+
+  async renderToCanvas(element) {
+    // Simple DOM-to-canvas renderer for basic content
+    const rect = element.getBoundingClientRect();
+    const canvas = document.createElement('canvas');
+    const scale = window.devicePixelRatio || 1;
+    canvas.width = rect.width * scale;
+    canvas.height = rect.height * scale;
+    const ctx = canvas.getContext('2d');
+    ctx.scale(scale, scale);
+
+    // Render background
+    const styles = getComputedStyle(element);
+    ctx.fillStyle = styles.backgroundColor || '#1f2121';
+    ctx.fillRect(0, 0, rect.width, rect.height);
+
+    // Render existing canvases
+    const canvases = element.querySelectorAll('canvas');
+    canvases.forEach(c => {
+      const cRect = c.getBoundingClientRect();
+      const x = cRect.left - rect.left;
+      const y = cRect.top - rect.top;
+      try { ctx.drawImage(c, x, y, cRect.width, cRect.height); } catch { /* tainted */ }
+    });
+
+    // Render text content
+    ctx.fillStyle = styles.color || '#e0e0e0';
+    ctx.font = `14px ${styles.fontFamily || 'sans-serif'}`;
+    let textY = 30;
+    element.querySelectorAll('h2, h3, .stat-value, .metric-label').forEach(el => {
+      const text = el.textContent.trim();
+      if (text && textY < rect.height - 20) {
+        const elStyles = getComputedStyle(el);
+        ctx.font = `${elStyles.fontWeight} ${elStyles.fontSize} ${styles.fontFamily || 'sans-serif'}`;
+        ctx.fillStyle = elStyles.color;
+        ctx.fillText(text, 20, textY);
+        textY += parseInt(elStyles.fontSize) + 8;
+      }
+    });
+
+    // Watermark
+    ctx.fillStyle = 'rgba(255,255,255,0.15)';
+    ctx.font = '11px monospace';
+    ctx.fillText(`RuView - ${new Date().toLocaleString()}`, 10, rect.height - 10);
+
+    return canvas;
+  }
+
+  flashEffect() {
+    const flash = document.createElement('div');
+    flash.className = 'screenshot-flash';
+    document.body.appendChild(flash);
+    flash.addEventListener('animationend', () => flash.remove());
+  }
+
+  timestamp() {
+    return new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
+  }
+
+  dispose() {}
+}

ui/utils/theme-toggle.js

@@ -0,0 +1,86 @@
+// Theme Toggle - Manual dark/light mode switch with persistence
+
+export class ThemeToggle {
+  constructor() {
+    this.button = null;
+    this.currentTheme = this.getSavedTheme() || this.getSystemTheme();
+  }
+
+  init() {
+    this.createButton();
+    this.applyTheme(this.currentTheme);
+    document.addEventListener('toggle-theme', () => this.toggle());
+
+    // Listen for system theme changes
+    window.matchMedia('(prefers-color-scheme: dark)').addEventListener('change', (e) => {
+      if (!this.getSavedTheme()) {
+        this.applyTheme(e.matches ? 'dark' : 'light');
+      }
+    });
+  }
+
+  createButton() {
+    this.button = document.createElement('button');
+    this.button.className = 'theme-toggle';
+    this.button.setAttribute('aria-label', 'Toggle dark/light theme');
+    this.button.setAttribute('title', 'Toggle theme (T)');
+    this.updateIcon();
+    this.button.addEventListener('click', () => this.toggle());
+
+    // Insert into header
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) {
+      headerInfo.prepend(this.button);
+    } else {
+      const header = document.querySelector('.header');
+      if (header) header.appendChild(this.button);
+    }
+  }
+
+  toggle() {
+    this.currentTheme = this.currentTheme === 'dark' ? 'light' : 'dark';
+    this.applyTheme(this.currentTheme);
+    this.saveTheme(this.currentTheme);
+  }
+
+  applyTheme(theme) {
+    this.currentTheme = theme;
+    document.documentElement.setAttribute('data-color-scheme', theme);
+    this.updateIcon();
+  }
+
+  updateIcon() {
+    if (!this.button) return;
+    const isDark = this.currentTheme === 'dark';
+    this.button.innerHTML = isDark
+      ? '<svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><circle cx="12" cy="12" r="5"/><line x1="12" y1="1" x2="12" y2="3"/><line x1="12" y1="21" x2="12" y2="23"/><line x1="4.22" y1="4.22" x2="5.64" y2="5.64"/><line x1="18.36" y1="18.36" x2="19.78" y2="19.78"/><line x1="1" y1="12" x2="3" y2="12"/><line x1="21" y1="12" x2="23" y2="12"/><line x1="4.22" y1="19.78" x2="5.64" y2="18.36"/><line x1="18.36" y1="5.64" x2="19.78" y2="4.22"/></svg>'
+      : '<svg width="18" height="18" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><path d="M21 12.79A9 9 0 1 1 11.21 3 7 7 0 0 0 21 12.79z"/></svg>';
+    this.button.setAttribute('aria-label', isDark ? 'Switch to light theme' : 'Switch to dark theme');
+  }
+
+  getSystemTheme() {
+    return window.matchMedia('(prefers-color-scheme: dark)').matches ? 'dark' : 'light';
+  }
+
+  getSavedTheme() {
+    try {
+      return localStorage.getItem('ruview-theme');
+    } catch {
+      return null;
+    }
+  }
+
+  saveTheme(theme) {
+    try {
+      localStorage.setItem('ruview-theme', theme);
+    } catch {
+      // localStorage not available
+    }
+  }
+
+  dispose() {
+    if (this.button?.parentNode) {
+      this.button.parentNode.removeChild(this.button);
+    }
+  }
+}

ui/utils/toast.js

@@ -0,0 +1,150 @@
+// Enhanced Toast Notification System
+// Supports multiple types: success, error, warning, info
+// Stacking, auto-dismiss, manual close, progress bar
+
+export class ToastManager {
+  constructor() {
+    this.container = null;
+    this.toasts = [];
+    this.idCounter = 0;
+  }
+
+  init() {
+    this.container = document.createElement('div');
+    this.container.className = 'toast-container';
+    this.container.setAttribute('role', 'region');
+    this.container.setAttribute('aria-label', 'Notifications');
+    this.container.setAttribute('aria-live', 'polite');
+    document.body.appendChild(this.container);
+  }
+
+  show(message, options = {}) {
+    const {
+      type = 'info',
+      duration = 5000,
+      closable = true,
+      icon = null,
+      action = null
+    } = options;
+
+    const id = ++this.idCounter;
+    const toast = document.createElement('div');
+    toast.className = `toast toast-${type}`;
+    toast.setAttribute('role', 'alert');
+    toast.dataset.toastId = id;
+
+    const iconMap = {
+      success: '<svg width="16" height="16" viewBox="0 0 16 16" fill="none"><path d="M13.5 4.5L6 12L2.5 8.5" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"/></svg>',
+      error: '<svg width="16" height="16" viewBox="0 0 16 16" fill="none"><path d="M12 4L4 12M4 4l8 8" stroke="currentColor" stroke-width="2" stroke-linecap="round"/></svg>',
+      warning: '<svg width="16" height="16" viewBox="0 0 16 16" fill="none"><path d="M8 5v4M8 11h.01" stroke="currentColor" stroke-width="2" stroke-linecap="round"/><path d="M7.13 2.22L1.09 12.5a1 1 0 00.87 1.5h12.08a1 1 0 00.87-1.5L8.87 2.22a1 1 0 00-1.74 0z" stroke="currentColor" stroke-width="1.5"/></svg>',
+      info: '<svg width="16" height="16" viewBox="0 0 16 16" fill="none"><circle cx="8" cy="8" r="6.5" stroke="currentColor" stroke-width="1.5"/><path d="M8 7v4M8 5h.01" stroke="currentColor" stroke-width="2" stroke-linecap="round"/></svg>'
+    };
+
+    const displayIcon = icon || iconMap[type] || iconMap.info;
+
+    toast.innerHTML = `
+      <div class="toast-icon">${displayIcon}</div>
+      <div class="toast-content">
+        <span class="toast-message">${this.escapeHtml(message)}</span>
+        ${action ? `<button class="toast-action">${this.escapeHtml(action.label)}</button>` : ''}
+      </div>
+      ${closable ? '<button class="toast-dismiss" aria-label="Dismiss">&times;</button>' : ''}
+      ${duration > 0 ? '<div class="toast-progress"><div class="toast-progress-bar"></div></div>' : ''}
+    `;
+
+    // Bind events
+    if (closable) {
+      toast.querySelector('.toast-dismiss').addEventListener('click', () => this.dismiss(id));
+    }
+    if (action?.onClick) {
+      toast.querySelector('.toast-action')?.addEventListener('click', () => {
+        action.onClick();
+        this.dismiss(id);
+      });
+    }
+
+    this.container.appendChild(toast);
+
+    // Trigger enter animation
+    requestAnimationFrame(() => toast.classList.add('toast-enter'));
+
+    // Auto-dismiss
+    let timeoutId = null;
+    if (duration > 0) {
+      const progressBar = toast.querySelector('.toast-progress-bar');
+      if (progressBar) {
+        progressBar.style.animationDuration = `${duration}ms`;
+        progressBar.classList.add('toast-progress-animate');
+      }
+      timeoutId = setTimeout(() => this.dismiss(id), duration);
+    }
+
+    // Pause on hover
+    toast.addEventListener('mouseenter', () => {
+      if (timeoutId) {
+        clearTimeout(timeoutId);
+        const bar = toast.querySelector('.toast-progress-bar');
+        if (bar) bar.style.animationPlayState = 'paused';
+      }
+    });
+    toast.addEventListener('mouseleave', () => {
+      if (duration > 0) {
+        const bar = toast.querySelector('.toast-progress-bar');
+        if (bar) bar.style.animationPlayState = 'running';
+        timeoutId = setTimeout(() => this.dismiss(id), duration / 2);
+      }
+    });
+
+    this.toasts.push({ id, toast, timeoutId });
+    return id;
+  }
+
+  dismiss(id) {
+    const index = this.toasts.findIndex(t => t.id === id);
+    if (index === -1) return;
+
+    const { toast, timeoutId } = this.toasts[index];
+    if (timeoutId) clearTimeout(timeoutId);
+
+    toast.classList.add('toast-exit');
+    toast.addEventListener('animationend', () => {
+      toast.remove();
+    }, { once: true });
+
+    this.toasts.splice(index, 1);
+  }
+
+  success(message, options = {}) {
+    return this.show(message, { ...options, type: 'success' });
+  }
+
+  error(message, options = {}) {
+    return this.show(message, { ...options, type: 'error', duration: options.duration || 8000 });
+  }
+
+  warning(message, options = {}) {
+    return this.show(message, { ...options, type: 'warning', duration: options.duration || 6000 });
+  }
+
+  info(message, options = {}) {
+    return this.show(message, { ...options, type: 'info' });
+  }
+
+  escapeHtml(text) {
+    const div = document.createElement('div');
+    div.textContent = text;
+    return div.innerHTML;
+  }
+
+  dispose() {
+    this.toasts.forEach(({ timeoutId }) => {
+      if (timeoutId) clearTimeout(timeoutId);
+    });
+    this.toasts = [];
+    if (this.container?.parentNode) {
+      this.container.parentNode.removeChild(this.container);
+    }
+  }
+}
+
+export const toastManager = new ToastManager();

ui/utils/uptime-clock.js

@@ -0,0 +1,61 @@
+// Uptime Clock - Shows system uptime and current time in header
+
+export class UptimeClock {
+  constructor() {
+    this.widget = null;
+    this.startTime = Date.now();
+    this.intervalId = null;
+  }
+
+  init() {
+    this.createWidget();
+    this.update();
+    this.intervalId = setInterval(() => this.update(), 1000);
+  }
+
+  createWidget() {
+    this.widget = document.createElement('div');
+    this.widget.className = 'uptime-clock';
+    this.widget.setAttribute('aria-label', 'System uptime');
+    this.widget.innerHTML = `
+      <span class="uptime-time"></span>
+      <span class="uptime-separator">|</span>
+      <span class="uptime-duration" title="Session uptime"></span>
+    `;
+
+    const headerInfo = document.querySelector('.header-info');
+    if (headerInfo) {
+      headerInfo.appendChild(this.widget);
+    }
+  }
+
+  update() {
+    if (!this.widget) return;
+
+    // Current time
+    const now = new Date();
+    const time = now.toLocaleTimeString('en-US', { hour12: false, hour: '2-digit', minute: '2-digit' });
+    this.widget.querySelector('.uptime-time').textContent = time;
+
+    // Uptime
+    const elapsed = Math.floor((Date.now() - this.startTime) / 1000);
+    this.widget.querySelector('.uptime-duration').textContent = this.formatDuration(elapsed);
+  }
+
+  formatDuration(seconds) {
+    if (seconds < 60) return `${seconds}s`;
+    if (seconds < 3600) {
+      const m = Math.floor(seconds / 60);
+      const s = seconds % 60;
+      return `${m}m ${s}s`;
+    }
+    const h = Math.floor(seconds / 3600);
+    const m = Math.floor((seconds % 3600) / 60);
+    return `${h}h ${m}m`;
+  }
+
+  dispose() {
+    if (this.intervalId) clearInterval(this.intervalId);
+    this.widget?.remove();
+  }
+}

v2/Cargo.toml

@@ -63,7 +63,7 @@ tracing = "0.1"
 tracing-subscriber = { version = "0.3", features = ["env-filter", "json"] }
 
 # Signal processing
-ndarray = { version = "0.15", features = ["serde"] }
+ndarray = { version = "0.17", features = ["serde"] }
 ndarray-linalg = { version = "0.18", features = ["openblas-static"] }
 rustfft = "6.1"
 num-complex = "0.4"
@@ -105,7 +105,7 @@ pcap = "1.1"
 petgraph = "0.6"
 
 # Data loading
-ndarray-npy = "0.8"
+ndarray-npy = "0.10"
 walkdir = "2.4"
 
 # Hashing (for proof)

v2/crates/wifi-densepose-sensing-server/src/adaptive_classifier.rs

@@ -200,9 +200,11 @@ impl AdaptiveModel {
             probs[c] = ((logits[c] - max_logit).exp()) / exp_sum;
         }
 
-        // Pick argmax.
+        // Pick argmax. Same NaN-panic class as #611: if any raw_feature is NaN
+        // it propagates through normalize → logits → softmax, then partial_cmp
+        // returns None and unwrap() panics the sensing server on every frame.
         let (best_c, best_p) = probs.iter().enumerate()
-            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap())
+            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap_or(std::cmp::Ordering::Equal))
             .unwrap();
         let label = if best_c < self.class_names.len() {
             self.class_names[best_c].clone()
@@ -477,7 +479,7 @@ pub fn train_from_recordings(recordings_dir: &Path) -> Result<AdaptiveModel, Str
             }
         }
         let pred = logits.iter().enumerate()
-            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap())
+            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap_or(std::cmp::Ordering::Equal))
             .unwrap().0;
         if pred == *target { correct += 1; }
     }
@@ -497,7 +499,7 @@ pub fn train_from_recordings(recordings_dir: &Path) -> Result<AdaptiveModel, Str
             }
         }
         let pred = logits.iter().enumerate()
-            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap())
+            .max_by(|a, b| a.1.partial_cmp(b.1).unwrap_or(std::cmp::Ordering::Equal))
             .unwrap().0;
         if pred == *target { class_correct[*target] += 1; }
     }

v2/crates/wifi-densepose-sensing-server/src/csi.rs

@@ -598,11 +598,13 @@ pub fn estimate_persons_from_correlation(frame_history: &VecDeque<Vec<f64>>) ->
         }
     }
 
+    // partial_cmp returns None on NaN; the outer unwrap_or only catches an
+    // empty iterator, not a comparator panic. Same NaN-panic class as #611.
     let (max_var_idx, _) = active.iter().enumerate()
-        .max_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap())
+        .max_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap_or(std::cmp::Ordering::Equal))
         .unwrap_or((0, &0));
     let (min_var_idx, _) = active.iter().enumerate()
-        .min_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap())
+        .min_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap_or(std::cmp::Ordering::Equal))
         .unwrap_or((0, &0));
     if max_var_idx == min_var_idx { return 1; }
 

v2/crates/wifi-densepose-sensing-server/src/main.rs

@@ -555,6 +555,93 @@ fn build_node_features(
     Some(entries)
 }
 
+// ── ADR-044 §5.2: Rolling P95 adaptive feature normalizer ────────────────────
+
+/// Streaming P95 estimator over a fixed-size sliding window.
+///
+/// Self-calibrates feature normalization to whatever distribution the deployment
+/// produces — no hardcoded scale values that can saturate in large rooms or
+/// degrade in high-interference environments.
+///
+/// O(n log n) per query via sorted copy — acceptable at 20 Hz with window=600.
+/// Cold-start (len < min_samples) returns `None` so the caller uses the legacy
+/// fixed denominator, preserving day-0 behaviour.
+pub struct RollingP95 {
+    buf: std::collections::VecDeque<f64>,
+    window: usize,
+    min_samples: usize,
+}
+
+impl RollingP95 {
+    pub fn new(window: usize, min_samples: usize) -> Self {
+        Self {
+            buf: std::collections::VecDeque::with_capacity(window),
+            window,
+            min_samples,
+        }
+    }
+
+    pub fn push(&mut self, v: f64) {
+        if self.buf.len() == self.window {
+            self.buf.pop_front();
+        }
+        self.buf.push_back(v);
+    }
+
+    /// Returns `Some(p95)` once enough samples have accumulated, else `None`.
+    pub fn current(&self) -> Option<f64> {
+        if self.buf.len() < self.min_samples {
+            return None;
+        }
+        let mut sorted: Vec<f64> = self.buf.iter().copied().collect();
+        sorted.sort_by(|a, b| a.partial_cmp(b).unwrap_or(std::cmp::Ordering::Equal));
+        let idx = ((sorted.len() as f64) * 0.95).ceil() as usize;
+        Some(sorted[idx.saturating_sub(1).min(sorted.len() - 1)])
+    }
+
+    #[allow(dead_code)]
+    pub fn len(&self) -> usize {
+        self.buf.len()
+    }
+}
+
+// ── ADR-044 §5.3: Runtime config persistence ─────────────────────────────────
+
+/// Runtime configuration that persists across server restarts via `data/config.json`.
+#[derive(Debug, Clone, Serialize, Deserialize)]
+pub(crate) struct RuntimeConfig {
+    /// Divisor for multi-node person-count deduplication (sum / factor).
+    pub dedup_factor: f64,
+}
+
+impl Default for RuntimeConfig {
+    fn default() -> Self {
+        Self { dedup_factor: 3.0 }
+    }
+}
+
+/// Load persisted runtime config from `<data_dir>/config.json`.
+/// Falls back to [`RuntimeConfig::default`] if the file is absent or malformed.
+pub(crate) fn load_runtime_config(data_dir: &std::path::Path) -> RuntimeConfig {
+    let path = data_dir.join("config.json");
+    match std::fs::read_to_string(&path) {
+        Ok(json) => serde_json::from_str(&json).unwrap_or_default(),
+        Err(_) => RuntimeConfig::default(),
+    }
+}
+
+/// Persist runtime config to `<data_dir>/config.json`.
+pub(crate) fn save_runtime_config(data_dir: &std::path::Path, config: &RuntimeConfig) {
+    let path = data_dir.join("config.json");
+    if let Ok(json) = serde_json::to_string_pretty(config) {
+        if let Err(e) = std::fs::write(&path, json) {
+            warn!("Failed to save runtime config to {}: {e}", path.display());
+        } else {
+            info!("Runtime config saved to {}", path.display());
+        }
+    }
+}
+
 /// Shared application state
 struct AppStateInner {
     latest_update: Option<SensingUpdate>,
@@ -662,6 +749,21 @@ struct AppStateInner {
     multistatic_fuser: MultistaticFuser,
     /// SVD-based room field model for eigenvalue person counting (None until calibration).
     field_model: Option<FieldModel>,
+    // ── ADR-044 §5.2: adaptive rolling-p95 normalization ─────────────────────
+    /// Rolling P95 of `FeatureInfo.variance` over the last ~30 s (600 frames @ 20 Hz).
+    pub(crate) p95_variance: RollingP95,
+    /// Rolling P95 of `FeatureInfo.motion_band_power` over the last ~30 s.
+    pub(crate) p95_motion_band_power: RollingP95,
+    /// Rolling P95 of `FeatureInfo.spectral_power` over the last ~30 s.
+    pub(crate) p95_spectral_power: RollingP95,
+    // ── ADR-044 §5.3: runtime-configurable dedup factor ───────────────────────
+    /// Divisor for multi-node person-count deduplication (sum / factor).
+    /// Default 3.0 (one body visible to ~3 nodes on average).
+    /// Configurable at runtime via `POST /api/v1/config/dedup-factor` and
+    /// `POST /api/v1/config/ground-truth`. Persisted across restarts.
+    pub(crate) dedup_factor: f64,
+    /// Data directory for persisting runtime config (parent of `firmware_dir`).
+    pub(crate) data_dir: std::path::PathBuf,
 }
 
 /// If no ESP32 frame arrives within this duration, source reverts to offline.
@@ -1748,8 +1850,13 @@ async fn windows_wifi_task(state: SharedState, tick_ms: u64) {
 
         let feat_variance = features.variance;
 
+        // ADR-044 §5.2: feed raw features into rolling-P95 estimators before scoring.
+        s.p95_variance.push(features.variance);
+        s.p95_motion_band_power.push(features.motion_band_power);
+        s.p95_spectral_power.push(features.spectral_power);
+
         // Multi-person estimation with temporal smoothing (EMA α=0.10).
-        let raw_score = compute_person_score(&features);
+        let raw_score = compute_person_score(&*s, &features);
         s.smoothed_person_score = s.smoothed_person_score * 0.90 + raw_score * 0.10;
         let est_persons = if classification.presence {
             let count = s.person_count();
@@ -1887,8 +1994,13 @@ async fn windows_wifi_fallback_tick(state: &SharedState, seq: u32) {
 
     let feat_variance = features.variance;
 
+    // ADR-044 §5.2: feed raw features into rolling-P95 estimators before scoring.
+    s.p95_variance.push(features.variance);
+    s.p95_motion_band_power.push(features.motion_band_power);
+    s.p95_spectral_power.push(features.spectral_power);
+
     // Multi-person estimation with temporal smoothing (EMA α=0.10).
-    let raw_score = compute_person_score(&features);
+    let raw_score = compute_person_score(&*s, &features);
     s.smoothed_person_score = s.smoothed_person_score * 0.90 + raw_score * 0.10;
     let est_persons = if classification.presence {
         let count = s.person_count();
@@ -2350,13 +2462,19 @@ fn fuse_multi_node_features(
 ///
 /// Returns a raw score (0.0..1.0) that the caller converts to person count
 /// after temporal smoothing.
-fn compute_person_score(feat: &FeatureInfo) -> f64 {
-    // Normalize each feature to [0, 1] using ranges calibrated from real
-    // ESP32 hardware (COM6/COM9 on ruv.net, March 2026).
-    let var_norm = (feat.variance / 300.0).clamp(0.0, 1.0);
+fn compute_person_score(state: &AppStateInner, feat: &FeatureInfo) -> f64 {
+    // ADR-044 §5.2: adaptive rolling-P95 normalization.
+    // Legacy fixed denominators (variance/300, motion/250, spectral/500) saturate
+    // when live ESP32 values exceed those limits — zero dynamic range results.
+    // Use the P95 of the last ~30 s of history instead, falling back to the legacy
+    // denominators during cold-start (<60 samples) to preserve day-0 behaviour.
+    let var_denom = state.p95_variance.current().map(|p| p.max(50.0)).unwrap_or(300.0);
+    let motion_denom = state.p95_motion_band_power.current().map(|p| p.max(50.0)).unwrap_or(250.0);
+    let sp_denom = state.p95_spectral_power.current().map(|p| p.max(100.0)).unwrap_or(500.0);
+    let var_norm = (feat.variance / var_denom).clamp(0.0, 1.0);
     let cp_norm = (feat.change_points as f64 / 30.0).clamp(0.0, 1.0);
-    let motion_norm = (feat.motion_band_power / 250.0).clamp(0.0, 1.0);
-    let sp_norm = (feat.spectral_power / 500.0).clamp(0.0, 1.0);
+    let motion_norm = (feat.motion_band_power / motion_denom).clamp(0.0, 1.0);
+    let sp_norm = (feat.spectral_power / sp_denom).clamp(0.0, 1.0);
     var_norm * 0.40 + cp_norm * 0.20 + motion_norm * 0.25 + sp_norm * 0.15
 }
 
@@ -2441,12 +2559,15 @@ fn estimate_persons_from_correlation(frame_history: &VecDeque<Vec<f64>>) -> usiz
         }
     }
 
-    // Source → highest-variance subcarrier, Sink → lowest-variance
+    // Source → highest-variance subcarrier, Sink → lowest-variance.
+    // partial_cmp returns None on NaN; the outer unwrap_or only catches an
+    // empty iterator, not a comparator panic. Same NaN-panic class as #611
+    // — a single NaN variance frame would kill the sensing-server process.
     let (max_var_idx, _) = active.iter().enumerate()
-        .max_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap())
+        .max_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap_or(std::cmp::Ordering::Equal))
         .unwrap_or((0, &0));
     let (min_var_idx, _) = active.iter().enumerate()
-        .min_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap())
+        .min_by(|(_, &a), (_, &b)| variances[a].partial_cmp(&variances[b]).unwrap_or(std::cmp::Ordering::Equal))
         .unwrap_or((0, &0));
 
     if max_var_idx == min_var_idx {
@@ -3805,8 +3926,9 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     // Aggregate person count: gate on presence first (matching WiFi path).
                     let now = std::time::Instant::now();
                     let total_persons = if vitals.presence {
+                        let dedup = s.dedup_factor;
                         let (fused, fallback_count) = multistatic_bridge::fuse_or_fallback(
-                            &s.multistatic_fuser, &s.node_states,
+                            &s.multistatic_fuser, &s.node_states, dedup,
                         );
                         match fused {
                             Some(ref f) => {
@@ -4091,8 +4213,9 @@ async fn udp_receiver_task(state: SharedState, udp_port: u16) {
                     // Aggregate person count: gate on presence first (matching WiFi path).
                     let now = std::time::Instant::now();
                     let total_persons = if classification.presence {
+                        let dedup = s.dedup_factor;
                         let (fused, fallback_count) = multistatic_bridge::fuse_or_fallback(
-                            &s.multistatic_fuser, &s.node_states,
+                            &s.multistatic_fuser, &s.node_states, dedup,
                         );
                         match fused {
                             Some(ref f) => {
@@ -4244,8 +4367,13 @@ async fn simulated_data_task(state: SharedState, tick_ms: u64) {
         let frame_amplitudes = frame.amplitudes.clone();
         let frame_n_sub = frame.n_subcarriers;
 
+        // ADR-044 §5.2: feed raw features into rolling-P95 estimators before scoring.
+        s.p95_variance.push(features.variance);
+        s.p95_motion_band_power.push(features.motion_band_power);
+        s.p95_spectral_power.push(features.spectral_power);
+
         // Multi-person estimation with temporal smoothing (EMA α=0.10).
-        let raw_score = compute_person_score(&features);
+        let raw_score = compute_person_score(&*s, &features);
         s.smoothed_person_score = s.smoothed_person_score * 0.90 + raw_score * 0.10;
         let est_persons = if classification.presence {
             let count = s.person_count();
@@ -4915,6 +5043,11 @@ async fn main() {
     let initial_recordings = scan_recording_files();
     info!("Discovered {} model files, {} recording files", initial_models.len(), initial_recordings.len());
 
+    // ADR-044 §5.3: load persisted runtime config from the data directory.
+    let data_dir = std::path::PathBuf::from("data");
+    let runtime_config = load_runtime_config(&data_dir);
+    info!("Loaded runtime config: dedup_factor={:.2}", runtime_config.dedup_factor);
+
     let (tx, _) = broadcast::channel::<String>(256);
     // ADR-099: parallel broadcast for the per-frame introspection snapshot stream
     // consumed by `/ws/introspection`. Same ring size as `tx` (256) — slow
@@ -4996,6 +5129,13 @@ async fn main() {
         } else {
             None
         },
+        // ADR-044 §5.2: rolling-P95 over ~30 s at 20 Hz; warm-up after 60 samples.
+        p95_variance: RollingP95::new(600, 60),
+        p95_motion_band_power: RollingP95::new(600, 60),
+        p95_spectral_power: RollingP95::new(600, 60),
+        // ADR-044 §5.3: runtime-configurable dedup factor (persisted).
+        dedup_factor: runtime_config.dedup_factor,
+        data_dir: data_dir.clone(),
     }));
 
     // Start background tasks based on source
@@ -5147,6 +5287,9 @@ async fn main() {
         .route("/api/v1/calibration/start", post(calibration_start))
         .route("/api/v1/calibration/stop", post(calibration_stop))
         .route("/api/v1/calibration/status", get(calibration_status))
+        // ADR-044 §5.3: runtime-configurable dedup factor
+        .route("/api/v1/config/dedup-factor", get(config_get_dedup_factor).post(config_set_dedup_factor))
+        .route("/api/v1/config/ground-truth", post(config_set_ground_truth))
         // Static UI files
         .nest_service("/ui", ServeDir::new(&ui_path))
         .layer(SetResponseHeaderLayer::overriding(
@@ -5272,3 +5415,131 @@ mod novelty_tests {
         assert!(ns.last_novelty_score.is_some());
     }
 }
+
+// ── ADR-044 §5.3: dedup_factor runtime configuration endpoints ────────────────
+
+/// `GET /api/v1/config/dedup-factor` — read the current dedup factor.
+async fn config_get_dedup_factor(
+    State(state): State<SharedState>,
+) -> Json<serde_json::Value> {
+    let s = state.read().await;
+    Json(serde_json::json!({
+        "dedup_factor": s.dedup_factor,
+        "description": "Divisor for multi-node person count deduplication (sum / factor). Range: 1.0–10.0."
+    }))
+}
+
+/// `POST /api/v1/config/dedup-factor` — set the dedup factor (clamped 1.0–10.0).
+///
+/// Body: `{ "value": <f64> }`
+async fn config_set_dedup_factor(
+    State(state): State<SharedState>,
+    Json(body): Json<serde_json::Value>,
+) -> Json<serde_json::Value> {
+    let value = body.get("value").and_then(|v| v.as_f64()).unwrap_or(3.0);
+    let clamped = value.clamp(1.0, 10.0);
+    let mut s = state.write().await;
+    s.dedup_factor = clamped;
+    let data_dir = s.data_dir.clone();
+    drop(s);
+    save_runtime_config(&data_dir, &RuntimeConfig { dedup_factor: clamped });
+    Json(serde_json::json!({
+        "status": "ok",
+        "dedup_factor": clamped,
+    }))
+}
+
+/// `POST /api/v1/config/ground-truth` — auto-tune dedup factor from a known person count.
+///
+/// Derives `dedup_factor = raw_node_sum / ground_truth_count` from the current
+/// per-node person counts, clamped to [1.0, 10.0].  Persisted immediately.
+///
+/// Body: `{ "count": <u64> }`
+async fn config_set_ground_truth(
+    State(state): State<SharedState>,
+    Json(body): Json<serde_json::Value>,
+) -> Json<serde_json::Value> {
+    let ground_truth = match body.get("count").and_then(|v| v.as_u64()) {
+        Some(n) if n > 0 => n as usize,
+        _ => return Json(serde_json::json!({"error": "count must be a positive integer"})),
+    };
+    let mut s = state.write().await;
+    let raw_sum: usize = s.node_states.values()
+        .filter(|ns| ns.last_frame_time
+            .map(|t| t.elapsed() < std::time::Duration::from_secs(10))
+            .unwrap_or(false))
+        .map(|ns| ns.prev_person_count)
+        .sum();
+    let optimal = if raw_sum > 0 {
+        (raw_sum as f64) / (ground_truth as f64)
+    } else {
+        3.0
+    };
+    let clamped = optimal.clamp(1.0, 10.0);
+    s.dedup_factor = clamped;
+    let data_dir = s.data_dir.clone();
+    drop(s);
+    save_runtime_config(&data_dir, &RuntimeConfig { dedup_factor: clamped });
+    Json(serde_json::json!({
+        "status": "ok",
+        "ground_truth": ground_truth,
+        "raw_sum": raw_sum,
+        "computed_dedup_factor": clamped,
+    }))
+}
+
+// ── Unit tests: RollingP95 ─────────────────────────────────────────────────────
+
+#[cfg(test)]
+mod rolling_p95_tests {
+    use super::RollingP95;
+
+    #[test]
+    fn cold_start_returns_none() {
+        let p = RollingP95::new(100, 10);
+        assert!(p.current().is_none(), "empty buffer must return None");
+    }
+
+    #[test]
+    fn below_min_samples_returns_none() {
+        let mut p = RollingP95::new(100, 10);
+        for i in 1..=9 {
+            p.push(i as f64);
+        }
+        assert!(p.current().is_none(), "fewer than min_samples must return None");
+    }
+
+    #[test]
+    fn p95_of_ramp_is_near_95() {
+        let mut p = RollingP95::new(100, 10);
+        for i in 1..=100 {
+            p.push(i as f64);
+        }
+        let p95 = p.current().expect("should have value after 100 samples");
+        assert!(
+            p95 >= 94.0 && p95 <= 96.0,
+            "P95 of 1..=100 should be ~95, got {p95}"
+        );
+    }
+
+    #[test]
+    fn window_slides_evicts_oldest() {
+        let mut p = RollingP95::new(5, 3);
+        // Push 1..=5, then 100 — oldest (1) is evicted.
+        for i in 1..=5 {
+            p.push(i as f64);
+        }
+        p.push(100.0); // evicts 1; buf = [2, 3, 4, 5, 100]
+        let p95 = p.current().expect("6 pushes, window=5 → 5 samples");
+        // P95 of [2,3,4,5,100]: idx = ceil(5*0.95)=5 → sorted[4]=100
+        assert_eq!(p95, 100.0, "largest value should dominate p95 after eviction");
+    }
+
+    #[test]
+    fn len_reports_buffer_size() {
+        let mut p = RollingP95::new(10, 5);
+        assert_eq!(p.len(), 0);
+        p.push(1.0);
+        assert_eq!(p.len(), 1);
+    }
+}

v2/crates/wifi-densepose-sensing-server/src/multistatic_bridge.rs

@@ -97,6 +97,7 @@ pub fn node_frames_from_states(node_states: &HashMap<u8, NodeState>) -> Vec<Mult
 pub fn fuse_or_fallback(
     fuser: &MultistaticFuser,
     node_states: &HashMap<u8, NodeState>,
+    dedup_factor: f64,
 ) -> (Option<FusedSensingFrame>, Option<usize>) {
     let frames = node_frames_from_states(node_states);
     if frames.is_empty() {
@@ -109,9 +110,11 @@ pub fn fuse_or_fallback(
             (Some(fused), None)
         }
         Err(e) => {
-            tracing::debug!("Multistatic fusion failed ({e}), using per-node max fallback");
-            // Use max (not sum) to avoid double-counting when nodes have overlapping coverage.
-            let max_count: usize = node_states
+            tracing::debug!("Multistatic fusion failed ({e}), using per-node sum/dedup fallback");
+            // Sum per-node counts then divide by dedup_factor (assumed average
+            // visibility per body across nodes).  ADR-044 §5.1.
+            // dedup_factor is runtime-configurable; default 3.0.
+            let total: usize = node_states
                 .values()
                 .filter(|ns| {
                     ns.last_frame_time
@@ -119,9 +122,9 @@ pub fn fuse_or_fallback(
                         .unwrap_or(false)
                 })
                 .map(|ns| ns.prev_person_count)
-                .max()
-                .unwrap_or(0);
-            (None, Some(max_count))
+                .sum();
+            let estimated = ((total as f64) / dedup_factor).ceil() as usize;
+            (None, Some(estimated))
         }
     }
 }
@@ -257,7 +260,7 @@ mod tests {
     fn test_fuse_or_fallback_empty() {
         let fuser = MultistaticFuser::new();
         let states: HashMap<u8, NodeState> = HashMap::new();
-        let (fused, count) = fuse_or_fallback(&fuser, &states);
+        let (fused, count) = fuse_or_fallback(&fuser, &states, 3.0);
         assert!(fused.is_none());
         assert_eq!(count, Some(0));
     }