* feat: dual-modal WASM browser pose estimation demo (ADR-058) Live webcam video + WiFi CSI fusion for real-time pose estimation. Two parallel CNN pipelines (ruvector-cnn-wasm) with attention-weighted fusion and dynamic confidence gating. Three modes: Dual, Video-only, CSI-only. Includes pre-built WASM package (~52KB) for browser deployment. - ADR-058: Dual-modal architecture design - ui/pose-fusion.html: Main demo page with dark theme UI - 7 JS modules: video-capture, csi-simulator, cnn-embedder, fusion-engine, pose-decoder, canvas-renderer, main orchestrator - Pre-built ruvector-cnn-wasm WASM package for browser - CSI heatmap, embedding space visualization, latency metrics - WebSocket support for live ESP32 CSI data - Navigation link added to main dashboard Co-Authored-By: claude-flow <ruv@ruv.net> * fix: motion-responsive skeleton + through-wall CSI tracking - Pose decoder now uses per-cell motion grid to track actual arm/head positions — raising arms moves the skeleton's arms, head follows lateral movement - Motion grid (10x8 cells) tracks intensity per body zone: head, left/right arm upper/mid, legs - Through-wall mode: when person exits frame, CSI maintains presence with slow decay (~10s) and skeleton drifts in exit direction - CSI simulator persists sensing after video loss, ghost pose renders with decreasing confidence - Reduced temporal smoothing (0.45) for faster response to movement Co-Authored-By: claude-flow <ruv@ruv.net> * fix: video fills available space + correct WASM path resolution - Remove fixed aspect-ratio and max-height from video panel so it fills the available viewport space without scrolling - Grid uses 1fr row for content area, overflow:hidden on main grid - Fix WASM path: resolve relative to JS module file using import.meta.url instead of hardcoded ./pkg/ which resolved incorrectly on gh-pages - Responsive: mobile still gets aspect-ratio constraint Co-Authored-By: claude-flow <ruv@ruv.net> * feat: live ESP32 CSI pipeline + auto-connect WebSocket - Add auto-connect to local sensing server WebSocket (ws://localhost:8765) - Demo shows "Live ESP32" when connected to real CSI data - Add build_firmware.ps1 for native Windows ESP-IDF builds (no Docker) - Add read_serial.ps1 for ESP32 serial monitor Pipeline: ESP32 → UDP:5005 → sensing-server → WS:8765 → browser demo Co-Authored-By: claude-flow <ruv@ruv.net> * docs: add ADR-059 live ESP32 CSI pipeline + update README with demo links - ADR-059: Documents end-to-end ESP32 → sensing server → browser pipeline - README: Add dual-modal pose fusion demo link, update ADR count to 49 - References issue #245 Co-Authored-By: claude-flow <ruv@ruv.net> * feat: RSSI visualization, RuVector attention WASM, cache-bust fixes - Add animated RSSI Signal Strength panel with sparkline history - Fix RuVector WasmMultiHeadAttention retptr calling convention - Wire up RuVector Multi-Head + Flash Attention in CNN embedder - Add ambient temporal drift to CSI simulator for visible heatmap animation - Fix embedding space projection (sparse projection replaces cancelling sum) - Add auto-scaling to embedding space renderer - Add cache busters (?v=4) to all ES module imports to prevent stale caches - Add diagnostic logging for module version verification - Add RSSI tracking with quality labels and color-coded dBm display - Includes ruvector-attention-wasm v2.0.5 browser ESM wrapper Co-Authored-By: claude-flow <ruv@ruv.net> * feat: 26-keypoint dexterous pose + full RuVector attention pipeline Pose Decoder (17 → 26 keypoints): - Add finger approximations: thumb, index, pinky per hand (6 new) - Add toe tips: left/right foot index (2 new) - Add neck keypoint (1 new) - Hand openness driven by arm motion intensity - Finger positions computed from wrist-elbow axis angles CNN Embedder (full RuVector WASM pipeline): - Stage 1: Multi-Head Attention (global spatial reasoning) - Stage 2: Hyperbolic Attention (hierarchical body-part tree) - Stage 3: MoE Attention (3 experts: upper/lower/extremities, top-2) - Blended 40/30/30 weighting → final embedding projection Canvas Renderer: - Magenta finger joints with distinct glow - Cyan toe tips - White neck keypoint - Thinner limb lines for hand/foot connections - Joint count shown in overlay label CSI Simulator: - Skip synthetic person state when live ESP32 connected - Only simulate CSI data in demo mode (was already correct) Embedding Space: - Fixed projection: sparse 8-dim projection replaces cancelling sum - Auto-scaling normalizes point spread to fill canvas Cache busters bumped to v=5 on all imports. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: centroid-based pose tracking for responsive limb movement Rewrites pose decoder from intensity-based to position-based tracking: - Arms now track toward motion centroid in each body zone - Elbow/wrist positions computed along shoulder→centroid vector - Legs track toward lower-body zone centroids - Smoothing reduced from 0.45 to 0.25 for responsiveness - Zone centroids blend 30% old / 70% new each frame 6 body zones with overlapping coverage: - Head (top 20%, center cols) - Left/Right Arm (rows 10-60%, outer cols) - Torso (rows 15-55%, center cols) - Left/Right Leg (rows 50-100%, half cols each) Hand openness now driven by arm spread distance + raise amount. Cache busters v=6. Co-Authored-By: claude-flow <ruv@ruv.net> * fix: remove duplicate lAnkleX/rAnkleX declarations in pose-decoder Stale code block from old intensity-based tracking was left behind, re-declaring variables already defined by centroid-based tracking. Co-Authored-By: claude-flow <ruv@ruv.net> * feat(demo): wire all 6 RuVector WASM attention mechanisms into pose fusion - Add WasmLinearAttention and WasmLocalGlobalAttention to browser ESM wrapper - Add 6 WASM utility functions (batch_normalize, pairwise_distances, etc.) - Extend CnnEmbedder to 6-stage pipeline: Flash → MHA → Hyperbolic → Linear → MoE → L+G - Use log-energy softmax blending across all 6 stages - Wire WASM cosine_similarity and normalize into FusionEngine - Add RuVector pipeline stats panel to UI (energy, refinement, pose impact) - Compute embedding-to-joint mapping stats without modifying joint positions - Center camera prompt with flexbox layout - Add cache busters v=12 Co-Authored-By: claude-flow <ruv@ruv.net>
3.5 KiB
ADR-059: Live ESP32 CSI Pipeline Integration
Status
Accepted
Date
2026-03-12
Context
ADR-058 established a dual-modal browser demo combining webcam video and WiFi CSI for pose estimation. However, it used simulated CSI data. To demonstrate real-world capability, we need an end-to-end pipeline from physical ESP32 hardware through to the browser visualization.
The ESP32-S3 firmware (firmware/esp32-csi-node/) already supports CSI collection and UDP streaming (ADR-018). The sensing server (wifi-densepose-sensing-server) already supports UDP ingestion and WebSocket bridging. The missing piece was connecting these components and enabling the browser demo to consume live data.
Decision
Implement a complete live CSI pipeline:
ESP32-S3 (CSI capture) → UDP:5005 → sensing-server (Rust/Axum) → WS:8765 → browser demo
Components
-
ESP32 Firmware — Rebuilt with native Windows ESP-IDF v5.4.0 toolchain (no Docker). Configured for target network and PC IP via
sdkconfig. Helper scripts added:build_firmware.ps1— Sets up IDF environment, cleans, builds, and flashesread_serial.ps1— Serial monitor with DTR/RTS reset capability
-
Sensing Server —
wifi-densepose-sensing-serverstarted with:--source esp32— Expect real ESP32 UDP frames--bind-addr 0.0.0.0— Accept connections from any interface--ui-path <path>— Serve the demo UI via HTTP
-
Browser Demo —
main.jsupdated to auto-connect tows://localhost:8765/ws/sensingon page load. Falls back to simulated CSI if the WebSocket is unavailable (GitHub Pages).
Network Configuration
The ESP32 sends UDP packets to a configured target IP. If the PC's IP doesn't match the firmware's compiled target, a secondary IP alias can be added:
# PowerShell (Admin)
New-NetIPAddress -IPAddress 192.168.1.100 -PrefixLength 24 -InterfaceAlias "Wi-Fi"
Data Flow
| Stage | Protocol | Format | Rate |
|---|---|---|---|
| ESP32 → Server | UDP | ADR-018 binary frame (magic 0xC5110001, I/Q pairs) |
~100 Hz |
| Server → Browser | WebSocket | ADR-018 binary frame (forwarded) | ~10 Hz (tick-ms=100) |
| Browser decode | JavaScript | Float32 amplitude/phase arrays | Per frame |
Build Environment (Windows)
ESP-IDF v5.4.0 on Windows requires:
- IDF_PATH pointing to the ESP-IDF framework
- IDF_TOOLS_PATH pointing to toolchain binaries
- MSYS/MinGW environment variables removed (ESP-IDF rejects them)
- Python venv from ESP-IDF tools for
idf.pyexecution
The build_firmware.ps1 script handles all of this automatically.
Consequences
Positive
- First end-to-end demonstration of real WiFi CSI → pose estimation in a browser
- No Docker required for firmware builds on Windows
- Demo gracefully degrades to simulated CSI when no server is available
- Same demo works on GitHub Pages (simulated) and locally (live ESP32)
Negative
- ESP32 target IP is compiled into firmware; changing it requires a rebuild or NVS override
- Windows firewall may block UDP:5005; user must allow it
- Mixed content restrictions prevent HTTPS pages from connecting to ws:// (local only)