feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence#270
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feat: ADR-063/064 mmWave sensor fusion + multimodal ambient intelligence#270
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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>
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>
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>
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>
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>
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>
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Summary
ADR-063 + ADR-064: Full mmWave sensor fusion implementation with WiFi CSI.
Firmware (ADR-063)
Server-Side Fusion Bridge (ADR-063 Phase 6)
scripts/mmwave_fusion_bridge.py— reads COM4 (ESP32-C6 + MR60BHA2) and COM7 (ESP32-S3 CSI) simultaneouslyRoadmap (ADR-064)
Hardware Verification
COM7 (ESP32-S3): Real WiFi CSI, mmWave auto-detect runs at boot, CSI-only mode when no mmWave wired
COM4 (ESP32-C6 + MR60BHA2): Live HR=75 bpm, BR=25/min at 52cm range
Fusion bridge: Both sensors feeding data simultaneously for 30 seconds
Test plan
Refs #269
🤖 Generated with claude-flow