rUv 5fa61ba7ea feat: adaptive CSI classifier with signal smoothing pipeline (ADR-048) (#144) ...

Add environment-tuned activity classification that learns from labeled
ESP32 CSI recordings, replacing brittle static thresholds.

- Adaptive classifier: 15-feature logistic regression trained from JSONL
  recordings (variance, motion band, subcarrier stats: skew, kurtosis,
  entropy, IQR). Trains in <1s, persists as JSON, auto-loads on restart.
- Three-stage signal smoothing: adaptive baseline subtraction (α=0.003),
  EMA + trimmed-mean median filter (21-frame window), hysteresis debounce
  (4 frames). Motion classification now stable across seconds, not frames.
- Vital signs stabilization: outlier rejection (±8 BPM HR, ±2 BPM BR),
  trimmed mean, dead-band (±2 BPM HR), EMA α=0.02. HR holds steady for
  10+ seconds instead of jumping 50 BPM every frame.
- Observatory auto-detect: always probes /health on startup, connects
  WebSocket to live ESP32 data automatically.
- New API endpoints: POST /api/v1/adaptive/train, GET /adaptive/status,
  POST /adaptive/unload for runtime model management.
- Updated user guide with Observatory, adaptive classifier tutorial,
  signal smoothing docs, and new troubleshooting entries.

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..

hud-controller.js

feat: adaptive CSI classifier with signal smoothing pipeline (ADR-048) (#144)

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main.js

feat: adaptive CSI classifier with signal smoothing pipeline (ADR-048) (#144)

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