* feat(ui): add keyboard shortcuts, perf monitor, toast system, theme toggle, and WCAG accessibility
- Keyboard shortcuts overlay (press ? for help, 1-8 for tabs, T for theme, P for perf)
- Real-time performance monitor with FPS, memory, latency sparklines (draggable)
- Enhanced toast notification system with stacking, auto-dismiss, progress bars
- Dark/light theme toggle with localStorage persistence and system preference detection
- WCAG accessibility: skip-to-content link, ARIA roles/attributes on tabs and panels,
arrow key navigation in tab bar, focus-visible outlines
- ESLint config for UI directory with security and quality rules
* feat(ui): add command palette, activity log, data export, fullscreen mode, connection status
- Command palette (Ctrl+K / Cmd+K) with fuzzy search across tabs and actions
- Activity log panel (L key) with real-time console interception, filters, resizable
- Data export utility (E key) for sensor data as JSON/CSV with dialog
- Fullscreen mode (F key / F11) for visualization tabs with exit button
- Connection status widget in header showing WebSocket state and reconnect
* feat(ui): add mobile hamburger nav, PWA support, and 40 unit tests
- Mobile hamburger navigation: slide-out drawer replacing tab bar on <768px,
swipe-to-close, animated hamburger icon, auto-sync with tab manager
- PWA manifest + service worker: installable dashboard, offline shell caching
(cache-first for static, network-first for API), auto-cleanup of old caches
- 40 unit tests for ToastManager, ThemeToggle, KeyboardShortcuts, PerfMonitor,
TabManager - browser-based test runner at ui/tests/unit-tests.html
- PWA meta tags: theme-color, apple-mobile-web-app-capable, manifest link
- Icon generator page for creating PWA icons (ui/icons/generate.html)
* feat(ui): add URL routing, onboarding tour, idle detection, notification center
- Hash router: tabs are bookmarkable/shareable via URL (#demo, #sensing, etc.),
syncs with TabManager, supports browser back/forward navigation
- Onboarding tour: interactive 6-step first-run walkthrough with spotlight
highlighting, step indicators, skip/back/next controls, localStorage persistence
- Idle detection: pauses health polling and reduces CSS animations after 3 min
of inactivity, resumes on user interaction, integrates with Page Visibility API
- Notification center: bell icon in header with unread badge, event history panel
with mark-read/clear, persists across page views via sessionStorage
* feat(ui): add i18n (EN/PL), screenshot tool, settings panel, reduced motion, uptime clock
- i18n: English/Polish translations with auto-detection, language selector
in header, data-i18n attributes on dashboard elements, localStorage persistence
- Screenshot tool (S key): captures active tab to clipboard or downloads PNG,
flash effect, canvas rendering with watermark, fallback for tainted canvases
- Quick settings panel (gear icon): reduced motion toggle, high contrast mode,
compact layout mode, health polling toggle, clear data, reset onboarding
- Uptime clock: current time + session duration in header
- prefers-reduced-motion: system-level and manual toggle, disables all
animations and transitions for vestibular accessibility
- High contrast mode: WCAG AAA compliant colors for both light and dark themes
- Compact mode: condensed layout for dense information display
When two render frames land in the same performance.now() tick,
`currentTime - lastFrameTime === 0`, so `fps = 1000 / 0 = Infinity`,
and `averageFps = averageFps * 0.9 + Infinity * 0.1 = Infinity` poisons
the EMA forever after a single zero-dt tick. The UI then displays
"Infinity FPS" until reload.
Floor deltaTime at 1 ms before the division. That caps displayed FPS at
1000 (far above any real render rate so the cap is never observed in
practice) but keeps the EMA finite.
Reported in #519 ("Bug 2 — FPS shows Infinity") by @kapilsoni2013 on a
3-node ESP32-S3-WROOM multi-node setup with edge-tier 1 + 2.
* 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>
- Heatmap: Gaussian radial blobs per keypoint with per-person hue,
faint skeleton overlay at 25% opacity
- Dense: body region segmentation with colored filled polygons for
head, torso, arms, legs — thick strokes + joint circles
- Keypoints: now also renders bounding box and confidence
- Previously both heatmap and dense were stubs falling back to skeleton
Co-Authored-By: claude-flow <ruv@ruv.net>
- Add Python WebSocket sensing server (ws_server.py) with ESP32 UDP CSI
and Windows RSSI auto-detect collectors on port 8765
- Add Three.js Gaussian splat renderer with custom GLSL shaders for
real-time WiFi signal field visualization (blue→green→red gradient)
- Add SensingTab component with RSSI sparkline, feature meters, and
motion classification badge
- Add sensing.service.js WebSocket client with reconnect and simulation fallback
- Implement sensing-only mode: suppress all DensePose API calls when
FastAPI backend (port 8000) is not running, clean console output
- ADR-019: Document sensing-only UI architecture and data flow
- ADR-020: Migrate AI/model inference to Rust with RuVector ONNX Runtime,
replacing ~2.7GB Python stack with ~50MB static binary
- Add ruvnet/ruvector as upstream remote for RuVector crate ecosystem
Co-Authored-By: claude-flow <ruv@ruv.net>
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