1.4 KiB
1.4 KiB
| description | argument-hint |
|---|---|
| Run a RuView sensing application — presence, vitals, pose, sleep, environment mapping, MAT, point cloud, or a novel RF app. | [presence|vitals|pose|sleep|environment|mat|pointcloud|<name>] |
/ruview-app
Launch a RuView application.
- Invoke the
ruview-applicationsskill. - Map
$ARGUMENTSto an application; if empty, show the catalogue and ask. Quick mappings:presence/vitals/pose/environment→cd v2 && cargo run -p wifi-densepose-sensing-server(live ESP32 sink) or the Docker demo for simulated CSI; for environment also--build-index env.sleep→examples/sleep/+node scripts/apnea-detector.js.mat(Mass Casualty Assessment) →wifi-densepose-matcrate,docs/wifi-mat-user-guide.md.pointcloud→python scripts/mmwave_fusion_bridge.py(camera depth + CSI + mmWave).- novel RF →
scripts/passive-radar.js,material-classifier.js,device-fingerprint.js,mincut-person-counter.js.
- If no hardware: fall back to
docker run -p 3000:3000 ruvnet/wifi-densepose:latestorpython examples/ruview_live.py. - Help pick the right modality (through-wall → presence/activity; stationary subject → vitals/sleep; need skeletons → pose, train it for accuracy; search & rescue → MAT; best accuracy → 2+ nodes + cross-viewpoint fusion via
/ruview-advanced).