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feat: cross-node fusion + DynamicMinCut + RSSI tracking (v0.5.3)
frostbyte_neo 发布于
2026-03-31 01:55:44 +00:00 - feat(server): cross-node RSSI-weighted feature fusion + benchmarks
Adds fuse_multi_node_features() that combines CSI features across all
active ESP32 nodes using RSSI-based weighting (closer node = higher weight).Benchmark results (2 ESP32 nodes, 30s, ~1500 frames):
Metric Baseline Fusion Improvement Variance mean 109.4 77.6 -29% noise Variance std 154.1 105.4 -32% stability Confidence 0.643 0.686 +7% Keypoint spread std 4.5 1.3 -72% jitter Presence ratio 93.4% 94.6% +1.3pp Person count still fluctuates near threshold — tracked as known issue.
Verified on real hardware: COM6 (node 1) + COM9 (node 2) on ruv.net.
Co-Authored-By: claude-flow ruv@ruv.net
- fix(ui): add client-side lerp smoothing to pose renderer
Keypoints now interpolate between frames (alpha=0.25) instead of
jumping directly to new positions. This eliminates visual jitter
that persists even with server-side EMA smoothing, because the
renderer was drawing every WebSocket frame at full rate.Applied to skeleton, keypoints, and dense body rendering paths.
Co-Authored-By: claude-flow ruv@ruv.net
- feat: DynamicMinCut person separation + UI lerp smoothing
- Added ruvector-mincut dependency to sensing server
- Replaced variance-based person scoring with actual graph min-cut on
subcarrier temporal correlation matrix (Pearson correlation edges,
DynamicMinCut exact max-flow) - Recalibrated feature scaling for real ESP32 data ranges
- UI: client-side lerp interpolation (alpha=0.25) on keypoint positions
- Dampened procedural animation (noise, stride, extremity jitter)
- Person count thresholds retuned for mincut ratio
Co-Authored-By: claude-flow ruv@ruv.net
- docs: update CHANGELOG with v0.5.1-v0.5.3 releases
Co-Authored-By: claude-flow ruv@ruv.net
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