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* 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>
50 lines
1.3 KiB
TOML
50 lines
1.3 KiB
TOML
[package]
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name = "wifi-densepose-sensing-server"
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version.workspace = true
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edition.workspace = true
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description = "Lightweight Axum server for WiFi sensing UI with RuVector signal processing"
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license.workspace = true
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authors = ["rUv <ruv@ruv.net>", "WiFi-DensePose Contributors"]
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repository.workspace = true
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documentation = "https://docs.rs/wifi-densepose-sensing-server"
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keywords = ["wifi", "sensing", "server", "websocket", "csi"]
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categories = ["web-programming::http-server", "science"]
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readme = "README.md"
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[lib]
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name = "wifi_densepose_sensing_server"
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path = "src/lib.rs"
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[[bin]]
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name = "sensing-server"
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path = "src/main.rs"
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[dependencies]
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# Web framework
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axum = { workspace = true }
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tower-http = { version = "0.5", features = ["fs", "cors", "set-header"] }
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tokio = { workspace = true, features = ["full", "process"] }
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futures-util = "0.3"
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# Serialization
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serde = { workspace = true }
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serde_json.workspace = true
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# Logging
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tracing.workspace = true
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tracing-subscriber = { workspace = true }
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# Time
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chrono = { version = "0.4", features = ["serde"] }
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# CLI
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clap = { workspace = true }
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# Multi-BSSID WiFi scanning pipeline (ADR-022 Phase 3)
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wifi-densepose-wifiscan = { version = "0.3.0", path = "../wifi-densepose-wifiscan" }
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# RuVector graph min-cut for person separation (ADR-068)
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ruvector-mincut = { workspace = true }
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[dev-dependencies]
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tempfile = "3.10"
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