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Drafted in response to user's escalating signal (opened quantum-sensing doc 11 three times across consecutive ticks). Beyond R20 vision (tick 37) and doc 17 bridge (tick 38), this tick delivers a BUILDABLE ARTIFACT. First quantum-augmented cog spec. Bedside-only (1-2 m, inherits doc 16 sober posture). Composes nvsim (ADR-089) + R14 V1 + R12.1 pose-PABS + R3 AETHER + Bayesian fusion. Architecture: - ESP32 CSI -> R14 V1 breathing rate (classical primary) - nvsim NV -> R6.1 multi-source forward (cardiac magnetic, NV primary) - R12.1 pose-PABS hook for residual check - R3 + AETHER per-patient identity - Bayesian fusion: classical drives when confidence high; NV drives HRV contour (which R13 NEGATIVE ruled out classically) Outputs (with confidence scores per output): - Breathing rate +-0.1 BPM - Heart rate +-0.5 BPM - HRV CONTOUR (NV only - this is what R13 ruled out classically) - Per-patient identity (R3+AETHER, per-installation only) Cost analysis (bedside): - 4x ESP32-S3: 0 - 1x NV-diamond: 00-2000 today / ~00 by 2028 - Mount + cal: 0 - TOTAL: 10-2110 vs clinical monitor: 000-10000 Implementation: ~200 LOC, ~3 weeks - Crate scaffold: 30 - nvsim adapter: 40 - Bayesian fusion: 80 - R12.1 hook: 30 - Manifest schema: 20 Privacy chain unchanged: ADR-106 Layer 1 adds NV B(t) + HRV contour to on-device-only primitive list. ADR-100/109 dual signing for manifest. R14 V3 (attention-respecting) becomes shippable — was bound by R13's contour requirement; ADR-114 provides the contour. ADR chain after this tick (10 ADRs in loop's accumulated chain): - Existing: ADR-100, 103, 104 - Loop: ADR-105, 106, 107, 108, 109, 113, 114 - Critical dependency: ADR-089 (nvsim) Future ADRs catalogued: - ADR-115: cog-rydberg-anchor (7-10y) - ADR-116: real NV hardware bring-up - ADR-117: cog-quantum-vitals FDA/CE pathway - ADR-118: cog-mm-position (atomic-clock multistatic) The three-tick arc (R20 -> doc 17 -> ADR-114): - R20: vision (quantum recovers classical limits) - Doc 17: integration (bridges series 11-16 with loop) - ADR-114: shippable (concrete cog spec, 10-2110/bedside) Vision -> integration -> buildable in 35 minutes. Honest scope: - nvsim is deterministic SIMULATOR; cog ships with synthetic benefit until 2028-2030 real hardware - Cube-of-distance bounds <=2 m bedside (doc 16 posture) - Patient-side variability requires per-patient calibration - No bench validation on hybrid pipeline yet Composes with every loop thread (R3, R6.1, R12, R12.1, R13 NEG recovered, R14 V1/V2/V3, R15, R16-R20) + all ADRs (089, 100, 103-109, 113). Coordination: ticks/tick-39.md, no PROGRESS.md edit.
Architecture Decision Records
This folder contains 44 Architecture Decision Records (ADRs) that document every significant technical choice in the RuView / WiFi-DensePose project.
Why ADRs?
Building a system that turns WiFi signals into human pose estimation involves hundreds of non-obvious decisions: which signal processing algorithms to use, how to bridge ESP32 firmware to a Rust pipeline, whether to run inference on-device or on a server, how to handle multi-person separation with limited subcarriers.
ADRs capture the context, options considered, decision made, and consequences for each of these choices. They serve three purposes:
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Institutional memory — Six months from now, anyone (human or AI) can read why we chose IIR bandpass filters over FIR for vital sign extraction, not just see the code.
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AI-assisted development — When an AI agent works on this codebase, ADRs give it the constraints and rationale it needs to make changes that align with the existing architecture. Without them, AI-generated code tends to drift — reinventing patterns that already exist, contradicting earlier decisions, or optimizing for the wrong tradeoffs.
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Review checkpoints — Each ADR is a reviewable artifact. When a proposed change touches the architecture, the ADR forces the author to articulate tradeoffs before writing code, not after.
ADRs and Domain-Driven Design
The project uses Domain-Driven Design (DDD) to organize code into bounded contexts — each with its own language, types, and responsibilities. ADRs and DDD work together:
- ADRs define boundaries: ADR-029 (RuvSense) established multistatic sensing as a separate bounded context from single-node CSI. ADR-042 (CHCI) defined a new aggregate root for coherent channel imaging.
- DDD models define the language: The RuvSense domain model defines terms like "coherence gate", "dwell time", and "TDM slot" that ADRs reference precisely.
- Together they prevent drift: An AI agent reading ADR-039 knows that edge processing tiers are configured via NVS keys, not compile-time flags — because the ADR says so. The DDD model tells it which aggregate owns that configuration.
How ADRs are structured
Each ADR follows a consistent format:
- Context — What problem or gap prompted this decision
- Decision — What we chose to do and how
- Consequences — What improved, what got harder, and what risks remain
- References — Related ADRs, papers, and code paths
Statuses: Proposed (under discussion), Accepted (approved and/or implemented), Superseded (replaced by a later ADR).
ADR Index
Hardware and firmware
| ADR | Title | Status |
|---|---|---|
| ADR-012 | ESP32 CSI Sensor Mesh for Distributed Sensing | Accepted (partial) |
| ADR-018 | ESP32 Development Implementation Path | Proposed |
| ADR-028 | ESP32 Capability Audit and Witness Record | Accepted |
| ADR-029 | RuvSense Multistatic Sensing Mode (TDM, channel hopping) | Proposed |
| ADR-032 | Multistatic Mesh Security Hardening | Accepted |
| ADR-039 | ESP32-S3 Edge Intelligence Pipeline (on-device vitals) | Accepted (hardware-validated) |
| ADR-040 | WASM Programmable Sensing (Tier 3) | Accepted |
| ADR-041 | WASM Module Collection (65 edge modules) | Accepted (hardware-validated) |
| ADR-044 | Provisioning Tool Enhancements | Proposed |
Signal processing and sensing
| ADR | Title | Status |
|---|---|---|
| ADR-013 | Feature-Level Sensing on Commodity Gear | Accepted |
| ADR-014 | SOTA Signal Processing Algorithms | Accepted |
| ADR-021 | Vital Sign Detection (breathing, heart rate) | Partial |
| ADR-030 | Persistent Field Model and Drift Detection | Proposed |
| ADR-033 | CRV Signal Line Sensing Integration | Proposed |
| ADR-037 | Multi-Person Pose Detection from Single ESP32 | Proposed |
| ADR-042 | Coherent Human Channel Imaging (beyond CSI) | Proposed |
Machine learning and training
| ADR | Title | Status |
|---|---|---|
| ADR-005 | SONA Self-Learning for Pose Estimation | Partial |
| ADR-006 | GNN-Enhanced CSI Pattern Recognition | Partial |
| ADR-015 | Public Dataset Strategy (MM-Fi, Wi-Pose) | Accepted |
| ADR-016 | RuVector Training Pipeline Integration | Accepted |
| ADR-017 | RuVector Signal + MAT Integration | Proposed |
| ADR-020 | Migrate AI Inference to Rust (ONNX Runtime) | Accepted |
| ADR-023 | Trained DensePose Model with RuVector Pipeline | Proposed |
| ADR-024 | Project AETHER: Contrastive CSI Embeddings | Required |
| ADR-027 | Project MERIDIAN: Cross-Environment Generalization | Proposed |
Platform and UI
| ADR | Title | Status |
|---|---|---|
| ADR-019 | Sensing-Only UI with Gaussian Splats | Accepted |
| ADR-022 | Windows WiFi Enhanced Fidelity (multi-BSSID) | Partial |
| ADR-025 | macOS CoreWLAN WiFi Sensing | Proposed |
| ADR-031 | RuView Sensing-First RF Mode | Proposed |
| ADR-034 | Expo React Native Mobile App | Accepted |
| ADR-035 | Live Sensing UI Accuracy and Data Transparency | Accepted |
| ADR-036 | Training Pipeline UI Integration | Proposed |
| ADR-043 | Sensing Server UI API Completion (14 endpoints) | Accepted |
Architecture and infrastructure
| ADR | Title | Status |
|---|---|---|
| ADR-001 | WiFi-Mat Disaster Detection Architecture | Accepted |
| ADR-002 | RuVector RVF Integration Strategy | Superseded |
| ADR-003 | RVF Cognitive Containers for CSI | Proposed |
| ADR-004 | HNSW Vector Search for Fingerprinting | Partial |
| ADR-007 | Post-Quantum Cryptography for Sensing | Proposed |
| ADR-008 | Distributed Consensus for Multi-AP | Proposed |
| ADR-009 | RVF WASM Runtime for Edge Deployment | Proposed |
| ADR-010 | Witness Chains for Audit Trail Integrity | Proposed |
| ADR-011 | Proof-of-Reality and Mock Elimination | Proposed |
| ADR-026 | Survivor Track Lifecycle (MAT crate) | Accepted |
| ADR-038 | Sublinear GOAP for Roadmap Optimization | Proposed |
| ADR-095 | rvCSI — Edge RF Sensing Runtime Platform | Proposed |
| ADR-096 | rvCSI — Crate Topology, the napi-c Shim, and the napi-rs Node Surface | Proposed |
| ADR-097 | Adopt rvCSI as RuView's primary CSI runtime (phased adoption) | Proposed |
| ADR-098 | Evaluate ruvnet/midstream for RuView's CSI / WebSocket / mesh pipeline |
Rejected |
| ADR-099 | Adopt midstream as RuView's real-time introspection + low-latency tap | Proposed |
Related
- DDD Domain Models — Bounded context definitions, aggregate roots, and ubiquitous language
- User Guide — Setup, API reference, and hardware instructions
- Build Guide — Building from source