- provision.py: add --channel (CSI channel override) and --filter-mac
(AA:BB:CC:DD:EE:FF format) arguments with validation
- nvs_config: add csi_channel, filter_mac[6], filter_mac_set fields;
read from NVS on boot
- csi_collector: auto-detect AP channel when no NVS override is set;
filter CSI frames by source MAC when filter_mac is configured
- ADR-060 documents the design and rationale
Fixes#247, fixes#229
- Add null-safe optional chaining for embPoints and rssiDbm in diagnostic log
- Handle Blob data in _handleLiveFrame (convert to ArrayBuffer before processing)
- Bump cache busters to v=13
Co-Authored-By: claude-flow <ruv@ruv.net>
* 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>
Add v0.4.1-esp32 as the recommended stable release and update the
flash command to match the current partition layout.
Co-Authored-By: claude-flow <ruv@ruv.net>
The committed sdkconfig had CONFIG_ESP_WIFI_CSI_ENABLED disabled, causing
all builds to crash at runtime with "CSI not enabled in menuconfig".
Root cause: sdkconfig.defaults.template existed but ESP-IDF only reads
sdkconfig.defaults (no .template suffix).
Fixes:
- Add sdkconfig.defaults with CONFIG_ESP_WIFI_CSI_ENABLED=y
- Add #error compile guard in csi_collector.c to prevent recurrence
- Fix NVS encryption default (requires eFuse, breaks clean builds)
Verified: Docker build + flash to ESP32-S3 + CSI callbacks confirmed.
Closes#241
Relates to #223, #238, #234, #210, #190
Co-Authored-By: claude-flow <ruv@ruv.net>
The Docker image uses CSI_SOURCE env var to select the data source,
not command-line arguments appended after the image name.
Fixed:
- ESP32 mode examples now use -e CSI_SOURCE=esp32
- Training mode example now uses --entrypoint override
- Added CSI_SOURCE value table in Docker section
Fixes#226
Co-Authored-By: claude-flow <ruv@ruv.net>
The sensing-server binary was referenced in tauri.conf.json but doesn't
exist in CI environment. Removed the resources section to fix the build.
Co-Authored-By: claude-flow <ruv@ruv.net>
## New Features
- WiFi Configuration Modal: Configure ESP32 WiFi credentials directly from the desktop app
- Serial port WiFi commands: Sends wifi_config/wifi/set ssid commands via serial
- Improved feedback UI with status indicators (Success/Commands Sent/Error)
## API Improvements
- New Tauri command: configure_esp32_wifi(port, ssid, password)
- 21 new integration tests covering all API functionality
- ESP32 VID/PID detection for CP210x, CH340, FTDI, and native USB
## UI Enhancements
- WiFi button in Serial Ports table for ESP32-compatible devices
- Modal with SSID/password inputs and clear status feedback
- "Done" button after configuration with "Try Again" option
## Testing
- 18 unit tests + 21 integration tests = 39 total tests passing
- Tests cover: discovery, settings, server, flash, OTA, provision, WASM, state, domain models
Co-Authored-By: claude-flow <ruv@ruv.net>
## Changes
- Auto-scan serial ports on Discovery page load (not just Serial tab)
- Show USB device hint when no network nodes found but USB devices detected
- Add "Flash →" button in Serial Ports table for quick navigation
- Fix server stop: proper SIGTERM/SIGKILL with process group handling
- Add data source selector on Sensing page (simulate/auto/wifi/esp32)
- Fix log viewer scroll (use containerRef.scrollTop instead of scrollIntoView)
- Add fallback serial port scanning for macOS when tokio_serial fails
## Fixes
- ESP32 USB devices now visible immediately on Discovery page
- Server processes properly terminated on stop
- Log viewer no longer scrolls entire page
Co-Authored-By: claude-flow <ruv@ruv.net>
Fixes#215: provision.py now correctly imports from esp_idf_nvs_partition_gen
package (the pip-installable version) before falling back to legacy import.
Fixes#216: Added sdkconfig.defaults.template with custom partition table
configuration for 8MB flash boards. Copy to sdkconfig.defaults before build:
cp sdkconfig.defaults.template sdkconfig.defaults
Changes:
- firmware/esp32-csi-node/provision.py: Try esp_idf_nvs_partition_gen first
- scripts/provision.py: Same import fix
- firmware/esp32-csi-node/sdkconfig.defaults.template: 8MB flash config with
2MB OTA partitions, compiler size optimization, and CSI enabled
Co-Authored-By: claude-flow <ruv@ruv.net>
- Bundle sensing-server binary in app resources (bin/sensing-server)
- Add find_server_binary() for multi-path binary discovery
- Connect Sensing page to real WebSocket endpoint (ws://localhost:8765/ws/sensing)
- Add DataSource type and source config for data source selection
- Default to simulate mode when no ESP32 hardware present
- Add ADR-055: Integrated Sensing Server architecture
- Add ADR-056: Complete RuView Desktop Capabilities Reference
Closes integration of sensing server as single-package distribution.
Co-Authored-By: claude-flow <ruv@ruv.net>
- Add navigation to Quick Actions (Flash, OTA, WASM buttons now work)
- Add error feedback for Scan Network failures
- Create version.ts as single source of truth for version
- Switch reqwest from rustls-tls to native-tls for Windows compatibility
- Version bump to 0.4.1
Co-Authored-By: claude-flow <ruv@ruv.net>
- Switch from rustls-tls to native-tls for better Windows support
- Fix Cargo.toml formatting (remove duplicate sections)
Co-Authored-By: claude-flow <ruv@ruv.net>
- Update default version to 0.4.0
- Add attach_to_existing input to add assets to existing releases
- Allows attaching Windows builds to v0.4.0-desktop release
Co-Authored-By: claude-flow <ruv@ruv.net>
- Add desktop-release.yml workflow for automated Windows/macOS builds
- Fix frontendDist path in tauri.conf.json for production builds
- Builds macOS (arm64 + x64) and Windows (MSI + NSIS) on native runners
- Creates GitHub Release with all artifacts on tag push or manual dispatch
To trigger a release:
git tag desktop-v0.3.0 && git push origin desktop-v0.3.0
Or use workflow_dispatch from GitHub Actions UI
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: add ADR-052 Tauri desktop frontend with DDD bounded contexts
Proposes a Tauri v2 desktop application as the primary UI for RuView,
replacing 6+ CLI tools with a single cross-platform app. Covers hardware
discovery, firmware flashing (espflash), OTA updates, WASM module
management, sensing server control, and live visualization.
Includes DDD domain model with 6 bounded contexts, aggregate definitions,
domain events, and anti-corruption layers for ESP32 firmware APIs.
Closes#177
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: add persistent node registry, OTA safety gate, plugin architecture to ADR-052
Incorporates engineering review feedback:
- Persistent node registry (~/.ruview/nodes.db) — discovery becomes reconciliation
- BatchOtaSession aggregate with TdmSafe rolling update strategy
- Plugin architecture section — control plane extensibility trajectory
- Renumbered sections for new content (9-12 added, impl phases now section 13)
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: add ADR-053 UI design system — Foundation Book + Unity-inspired interface
- Dark professional theme with rUv purple accent (#7c3aed)
- Foundation Book typographic hierarchy (heading-xl through body-sm)
- Unity Editor-inspired panel layout (sidebar + list/detail split + inspector)
- 6 component specs: NodeCard, FlashProgress, MeshGraph, PropertyGrid, StatusBadge, LogViewer
- Color system with status indicators (online/warning/error/info)
- 4px base grid spacing system
- Branding: splash screen, status bar, about dialog
Refs #177
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix: rewrite ADR-053 UI design system with practical terminology
Replace sci-fi themed language (Asimov Foundation references, Prime Radiant,
Encyclopedia Galactica, Terminus, Seldon Crisis) with clear, practical
terminology that engineers and operators can immediately understand.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix: specify Three.js for mesh topology visualization in ADR-053
Use Three.js for the mesh topology view, consistent with existing
visualization patterns in ui/observatory/js/ and ui/components/.
Includes implementation details: MeshPhongMaterial for node status,
BufferGeometry for dynamic updates, OrbitControls, raycasting.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat: add Tauri v2 desktop crate with React frontend (Phase 1 skeleton)
Rust backend (wifi-densepose-desktop):
- 14 Tauri commands across 6 groups: discovery, flash, OTA, WASM, server, provision
- Domain types: Node, NodeRegistry, FlashSession, OtaSession, BatchOtaSession
- AppState with DiscoveryState and ServerState behind Mutex
- Workspace Cargo.toml updated with new member
- cargo check passes cleanly
React/TypeScript frontend:
- TypeScript types matching Rust domain model
- Hooks: useNodes (discovery polling), useServer (start/stop/status)
- Components: StatusBadge, NodeCard, Sidebar
- Pages: Dashboard, Nodes (table + expandable details), FlashFirmware
(3-step wizard with progress bar), Settings (server/security/discovery)
- App.tsx with sidebar navigation routing
- Vite 6 + React 18 + @tauri-apps/api v2
Implements ADR-052 Phase 1 skeleton. All commands return stub data.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat: implement ADR-053 design system across all frontend components
Create design-system.css with all ADR-053 tokens:
- CSS custom properties: colors, spacing, fonts, panel dimensions
- Typography scale classes (heading-xl through data-lg)
- Form control and button base styles
- Custom scrollbar, selection highlight, animations
Update all components to use design system tokens:
- Replace hardcoded colors with var(--bg-surface), var(--border), etc.
- Replace generic monospace with var(--font-mono) (JetBrains Mono)
- Replace system font stack with var(--font-sans) (Inter)
- Replace spacing values with var(--space-N) tokens
- StatusBadge: use var(--status-online/warning/error/info)
- Dashboard: add stat cards with data-lg class, use StatusBadge
- FlashFirmware: pulse animation on progress bar during writes
- Settings: default bind_address 127.0.0.1 (matches ADR-050)
Add status bar footer with "Powered by rUv", node count, server status.
Load Inter + JetBrains Mono from Google Fonts in index.html.
Update ADR-053 status from Proposed to Accepted.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix: add missing @tauri-apps/plugin-dialog and plugin-shell dependencies
Required for firmware file picker in FlashFirmware page and
shell sidecar support. Fixes Vite build failure.
Co-Authored-By: claude-flow <ruv@ruv.net>
* fix: add defensive optional chaining for node.chip access
Rust DiscoveredNode stub doesn't include chip field yet.
Use optional chaining (node.chip?.toUpperCase()) to prevent
TypeError at runtime.
Co-Authored-By: claude-flow <ruv@ruv.net>
* feat: add OTA, Edge Modules, Sensing, Mesh View pages with enhanced design system
Implement all 4 remaining pages (OtaUpdate, EdgeModules, Sensing, MeshView)
and enhance the design system with glassmorphism cards, count-up animations,
page transitions, gradient accents, live status bar, and consistent status
dot glows across the UI.
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: add desktop crate README and link from main README
Co-Authored-By: claude-flow <ruv@ruv.net>
* docs: add download/run instructions to desktop README
Co-Authored-By: claude-flow <ruv@ruv.net>
- Add create_collector() factory function that auto-detects platform and never raises
- Add LinuxWifiCollector.is_available() classmethod for probe-without-exception
- Refactor ws_server.py to use create_collector(), removing ~30 lines of duplicated platform detection
- Add 10 unit tests covering all platform paths and edge cases
- Add ADR-049 documenting the cross-platform detection and fallback chain
Docker, WSL, and headless users now get SimulatedCollector automatically
with a clear WARNING log instead of a RuntimeError crash.
Closes#148Closes#155
Co-Authored-By: claude-flow <ruv@ruv.net>
The ambient light color 0x446688 (dark blue-gray) was too dim to produce
visible brightness changes. Changed to 0xccccdd (bright neutral) with 5x
multiplier. Bumped SETTINGS_VERSION to force fresh defaults.
Co-Authored-By: claude-flow <ruv@ruv.net>
The ambient light was initialized with intensity * 3.0 but the slider
and preset callbacks set raw value without the multiplier, making the
setting appear to do nothing.
Co-Authored-By: claude-flow <ruv@ruv.net>
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.
- Add branch = main to each submodule in .gitmodules
- Add GitHub Actions workflow that checks every 6 hours for
upstream updates and opens a PR automatically
Co-Authored-By: claude-flow <ruv@ruv.net>
