feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence (#269)

* docs: ADR-063 mmWave sensor fusion with WiFi CSI

60 GHz mmWave radar (Seeed MR60BHA2, HLK-LD2410/LD2450) fusion
with WiFi CSI for dual-confirm fall detection, clinical-grade
vitals, and self-calibrating CSI pipeline.

Covers auto-detection, 6 supported sensors, Kalman fusion,
extended 48-byte vitals packet, RuVector/RuvSense integration
points, and 6-phase implementation plan.

Based on live hardware capture from ESP32-C6 + MR60BHA2 on COM4.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat(firmware): ADR-063 mmWave sensor fusion — full implementation

Phase 1-2 of ADR-063:

mmwave_sensor.c/h:
- MR60BHA2 UART parser (60 GHz: HR, BR, presence, distance)
- LD2410 UART parser (24 GHz: presence, distance)
- Auto-detection: probes UART for known frame headers at boot
- Mock generator for QEMU testing (synthetic HR 72±2, BR 16±1)
- Capability flag registration per sensor type

edge_processing.c/h:
- 48-byte fused vitals packet (magic 0xC5110004)
- Kalman-style fusion: mmWave 80% + CSI 20% when both available
- Automatic fallback to CSI-only 32-byte packet when no mmWave
- Dual presence flag (Bit3 = mmwave_present)

main.c:
- mmwave_sensor_init() called at boot with auto-detect
- Status logged in startup banner

Fuzz stubs updated for mmwave_sensor API.
Build verified: QEMU mock build passes.

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(firmware): correct MR60BHA2 + LD2410 UART protocols (ADR-063)

MR60BHA2: SOF=0x01 (not 0x5359), XOR+NOT checksums on header and
data, frame types 0x0A14 (BR), 0x0A15 (HR), 0x0A16 (distance),
0x0F09 (presence). Based on Seeed Arduino library research.

LD2410: 256000 baud (not 115200), 0xAA report head marker,
target state byte at offset 2 (after data_type + head_marker).

Auto-detect: probes MR60 at 115200 first, then LD2410 at 256000.
Sets final baud rate after detection.

Co-Authored-By: claude-flow <ruv@ruv.net>

* feat: ADR-063 Phase 6 server-side mmWave + CSI fusion bridge

Python script reads both serial ports simultaneously:
- COM4 (ESP32-C6 + MR60BHA2): parses ESPHome debug output for HR, BR, presence, distance
- COM7 (ESP32-S3): reads CSI edge processing frames

Kalman-style fusion: mmWave 80% + CSI 20% for vitals, OR gate for presence.

Verified on real hardware: mmWave HR=75bpm, BR=25/min at 52cm range,
CSI frames flowing concurrently. Both sensors live for 30 seconds.

Co-Authored-By: claude-flow <ruv@ruv.net>

* docs: ADR-064 multimodal ambient intelligence roadmap

25+ applications across 4 tiers from practical to exotic:
- Tier 1 (build now): zero-FP fall detection, sleep monitoring,
  occupancy HVAC, baby breathing, bathroom safety
- Tier 2 (research): gait analysis, stress detection, gesture
  control, respiratory screening, multi-room activity
- Tier 3 (frontier): cardiac arrhythmia, RF tomography, sign
  language, cognitive load, swarm sensing
- Tier 4 (exotic): emotion contagion, lucid dreaming, plant
  monitoring, pet behavior

Priority matrix with effort estimates. All P0-P1 items work with
existing hardware (ESP32-S3 + MR60BHA2 + BH1750).

Co-Authored-By: claude-flow <ruv@ruv.net>

* fix(ci): add ESP_ERR_NOT_FOUND to fuzz stubs

mmwave_sensor stub returns ESP_ERR_NOT_FOUND which wasn't
defined in the minimal esp_stubs.h for host-based fuzz testing.

Co-Authored-By: claude-flow <ruv@ruv.net>

firmware/esp32-csi-node/main/edge_processing.c

@@ -18,6 +18,7 @@
  */
 
 #include "edge_processing.h"
+#include "mmwave_sensor.h"
 #include "wasm_runtime.h"
 #include "stream_sender.h"
 
@@ -577,8 +578,58 @@ static void send_vitals_packet(void)
     s_latest_pkt = pkt;
     s_pkt_valid = true;
 
-    /* Send over UDP. */
-    stream_sender_send((const uint8_t *)&pkt, sizeof(pkt));
+    /* ADR-063: If mmWave is active, send fused 48-byte packet instead. */
+    mmwave_state_t mw;
+    if (mmwave_sensor_get_state(&mw) && mw.detected) {
+        edge_fused_vitals_pkt_t fpkt;
+        memset(&fpkt, 0, sizeof(fpkt));
+
+        fpkt.magic = EDGE_FUSED_MAGIC;
+        fpkt.node_id = pkt.node_id;
+        fpkt.flags = pkt.flags;
+        if (mw.person_present) fpkt.flags |= 0x08;  /* Bit3 = mmwave_present */
+        fpkt.rssi = pkt.rssi;
+        fpkt.n_persons = pkt.n_persons;
+        fpkt.mmwave_type = (uint8_t)mw.type;
+        fpkt.motion_energy = pkt.motion_energy;
+        fpkt.presence_score = pkt.presence_score;
+        fpkt.timestamp_ms = pkt.timestamp_ms;
+
+        /* Kalman-style fusion: prefer mmWave when available, CSI as fallback. */
+        if (mw.heart_rate_bpm > 0.0f && s_heartrate_bpm > 0.0f) {
+            /* Weighted average: mmWave 80%, CSI 20% (mmWave is more accurate). */
+            float fused_hr = mw.heart_rate_bpm * 0.8f + s_heartrate_bpm * 0.2f;
+            fpkt.heartrate = (uint32_t)(fused_hr * 10000.0f);
+            fpkt.fusion_confidence = 90;
+        } else if (mw.heart_rate_bpm > 0.0f) {
+            fpkt.heartrate = (uint32_t)(mw.heart_rate_bpm * 10000.0f);
+            fpkt.fusion_confidence = 85;
+        } else {
+            fpkt.heartrate = pkt.heartrate;
+            fpkt.fusion_confidence = 50;
+        }
+
+        if (mw.breathing_rate > 0.0f && s_breathing_bpm > 0.0f) {
+            float fused_br = mw.breathing_rate * 0.8f + s_breathing_bpm * 0.2f;
+            fpkt.breathing_rate = (uint16_t)(fused_br * 100.0f);
+        } else if (mw.breathing_rate > 0.0f) {
+            fpkt.breathing_rate = (uint16_t)(mw.breathing_rate * 100.0f);
+        } else {
+            fpkt.breathing_rate = pkt.breathing_rate;
+        }
+
+        /* Raw mmWave values for server-side analysis. */
+        fpkt.mmwave_hr_bpm = mw.heart_rate_bpm;
+        fpkt.mmwave_br_bpm = mw.breathing_rate;
+        fpkt.mmwave_distance = mw.distance_cm;
+        fpkt.mmwave_targets = mw.target_count;
+        fpkt.mmwave_confidence = (mw.frame_count > 10) ? 80 : 40;
+
+        stream_sender_send((const uint8_t *)&fpkt, sizeof(fpkt));
+    } else {
+        /* No mmWave — send standard 32-byte packet. */
+        stream_sender_send((const uint8_t *)&pkt, sizeof(pkt));
+    }
 }
 
 /* ======================================================================