feat: ADR-074/075/076 — SNN + MinCut + CNN Spectrogram (ruvector advanced sensing)#352
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feat: ADR-074/075/076 — SNN + MinCut + CNN Spectrogram (ruvector advanced sensing)#352
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128→64→8 SNN with STDP online learning — adapts to room in <30s without labels. Event-driven: 16-160x less compute than FC encoder. - snn-csi-processor.js: live UDP with ASCII visualization, EWMA - ADR-073 updated with SNN integration for multi-channel fusion - Fixed magic number parsing to use ADR-018 format (0xC5110001) Co-Authored-By: claude-flow <ruv@ruv.net>
Stoer-Wagner min-cut on subcarrier correlation graph replaces broken threshold-based person counting (was always 4, now correct). Validated: 24/24 windows correctly report 1 person on test data where old firmware reported 4. Pure JS, <5ms per window. - mincut-person-counter.js: live UDP + JSONL replay, overrides vitals - csi-graph-visualizer.js: ASCII spectrum + correlation heatmap - ADR-075: algorithm, comparison, migration path Co-Authored-By: claude-flow <ruv@ruv.net>
CSI-as-image: 64x20 subcarrier×time matrix → 224x224 → CNN → 128-dim embedding. Same-node similarity 0.95+, cross-node 0.6-0.8. - csi-spectrogram.js: WASM CNN embedding, ASCII visualization, Seed ingest - mesh-graph-transformer.js: GATv2 multi-head attention over ESP32 mesh, fuses multi-node features, generalizes to 3+ nodes Co-Authored-By: claude-flow <ruv@ruv.net>
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Summary
Three ruvector capabilities integrated into the WiFi sensing pipeline:
ADR-074: Spiking Neural Network (online learning)
ADR-075: MinCut Person Separation (fixes #348)
ADR-076: CNN Spectrogram + Graph Transformer
Files
docs/adr/ADR-074-spiking-neural-csi-sensing.mdscripts/snn-csi-processor.jsdocs/adr/ADR-075-mincut-person-separation.mdscripts/mincut-person-counter.jsscripts/csi-graph-visualizer.jsdocs/adr/ADR-076-csi-spectrogram-embeddings.mdscripts/csi-spectrogram.jsscripts/mesh-graph-transformer.jsTest plan
🤖 Generated with claude-flow