Self-contained Three.js r128 demo at examples/through-wall/ that renders ONLY genuine data streamed from the running sensing-server over ws://localhost:8765/ws/sensing. No simulation, no fabricated frames, no fake skeleton. Renders, driven by real /ws/sensing frames: - 20x20 signal_field floor heatmap (real values) - coarse RF-localization puck from persons[0].position (labeled coarse, NOT pose; peak signal_field cell as fallback) - live motion/breathing/variance/rssi bars + motion sparkline - presence/confidence/estimated_persons/active-node/tick/Hz meters - 3D room with wall + doorway dividing office (node 9) / hallway (node 13) - honest mutually-exclusive banner: LIVE (source=esp32) / SIMULATED / NO SERVER, showing the real source verbatim - optional webcam tile (ground-truth-when-visible, separate from CSI) Reuses scene/lights/bloom/CSS + webcam path from examples/three.js/demos/05-skinned-realtime.html, the floor-heatmap idea from ui/observatory/js/, and the threaded no-cache server from examples/three.js/server/serve-demo.py (serve.py on :8080). Verified against the live server: real frame source=esp32, nodes [9,13], 400 signal_field values, persons[0].position present. Python proof PASS. Co-Authored-By: claude-flow <ruv@ruv.net> |
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| .. | ||
| environment | ||
| frontend | ||
| ha-blueprints | ||
| happiness-vector | ||
| lovelace | ||
| medical | ||
| research-sota | ||
| sleep | ||
| stress | ||
| three.js | ||
| through-wall | ||
| README.md | ||
| ruview_live.py | ||
README.md
Examples
Real-time sensing applications built on the RuView platform.
Unified Dashboard (start here)
pip install pyserial numpy
python examples/ruview_live.py --csi COM7 --mmwave COM4
The live dashboard auto-detects available sensors and displays fused vitals, environment data, and events in real-time. Works with any combination of sensors.
Individual Examples
| Example | Sensors | What It Does |
|---|---|---|
| ruview_live.py | CSI + mmWave + Light | Unified dashboard: HR, BR, BP, stress, presence, light, RSSI |
| Medical: Blood Pressure | mmWave | Contactless BP estimation from HRV |
| Medical: Vitals Suite | mmWave | 10-in-1: HR, BR, BP, HRV, sleep stages, apnea, cough, snoring, activity, meditation |
| Sleep: Apnea Screener | mmWave | Detects breathing cessation events, computes AHI |
| Stress: HRV Monitor | mmWave | Real-time stress level from heart rate variability |
| Environment: Room Monitor | CSI + mmWave | Occupancy, light, RF fingerprint, activity events |
Hardware
| Port | Device | Cost | What It Provides |
|---|---|---|---|
| COM7 | ESP32-S3 (WiFi CSI) | ~$9 | Presence, motion, breathing, heart rate (through walls) |
| COM4 | ESP32-C6 + Seeed MR60BHA2 | ~$15 | Precise HR/BR, presence, distance, ambient light |
Either sensor works alone. Both together enable fusion (mmWave 80% + CSI 20%).
Quick Start
pip install pyserial numpy
# Unified dashboard (recommended)
python examples/ruview_live.py --csi COM7 --mmwave COM4
# Blood pressure estimation
python examples/medical/bp_estimator.py --port COM4
# Sleep apnea screening (run overnight)
python examples/sleep/apnea_screener.py --port COM4 --duration 28800
# Stress monitoring (workday session)
python examples/stress/hrv_stress_monitor.py --port COM4 --duration 3600
# Room environment monitor
python examples/environment/room_monitor.py --csi-port COM7 --mmwave-port COM4
# CSI only (no mmWave)
python examples/ruview_live.py --csi COM7 --mmwave none
Web UI
| Example | Stack | What It Does |
|---|---|---|
| frontend/ | Lit 3 + TypeScript + Vite | HOMECORE web UI — Home Assistant–style dashboard for the sensing stack (ADR-131). Mirrors the cognitum-v0 appliance design system. |
cd examples/frontend
npm install
npm run dev # http://localhost:5173 — proxies /api → http://localhost:8123
See examples/frontend/README.md for the full layout and design tokens.