Advanced RuView Sensing
Runs multi-node sensing, RF tomography and drift analysis for research RuView setups.
Install
npx skills add ruvnet/RuView --skill ruview-advanced-sensing -g -a claude-code -y- Repository
- ruvnet/RuView102k
- Category
- Data and ML
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 1,054 tokens
- Runs scripts
- No, instructions only
What it does
Advanced RuView capabilities, RuvSense multistatic sensing (attention-weighted fusion, geometric diversity, persistent field model), cross-viewpoint fusion across multiple nodes, RF tomography (ISTA L1 solver, voxel grids), longitudinal biomechanics drift, pre-movement intention signals, adversarial signal detection, and multistatic mesh security hardening. Use for research-grade or multi-node deployments.
RuView Advanced Sensing
The deep end: multistatic mesh, tomography, persistent field models, and the security model that protects them. Most of this lives in wifi-densepose-signal/src/ruvsense/ (14 modules) and wifi-densepose-ruvector/src/viewpoint/ (5 modules).
RuvSense multistatic mode (ADR-029)
Treat every WiFi link in range, including neighbours' APs, as a bistatic radar pair, then fuse them.
Module (signal/src/ruvsense/) | Purpose |
|---|---|
multiband.rs | Multi-band CSI frame fusion, cross-channel coherence |
phase_align.rs | Iterative LO phase-offset estimation, circular mean |
multistatic.rs | Attention-weighted fusion, geometric diversity |
coherence.rs / coherence_gate.rs | Z-score coherence scoring; Accept / PredictOnly / Reject / Recalibrate gate decisions |
pose_tracker.rs | 17-keypoint Kalman tracker with AETHER re-ID embeddings |
field_model.rs | SVD room eigenstructure, perturbation extraction |
tomography.rs | RF tomography, ISTA L1 solver, voxel grid |
longitudinal.rs | Welford stats, biomechanics drift detection |
intention.rs | Pre-movement lead signals (200, 500 ms ahead) |
cross_room.rs | Environment fingerprinting, transition graph |
gesture.rs | DTW template-matching gesture classifier |
adversarial.rs | Physically-impossible-signal detection, multi-link consistency |
Cross-viewpoint fusion (ADR-016 viewpoint module)
Combine 2+ nodes geometrically, more nodes, more independent looks, tighter localization.
Module (ruvector/src/viewpoint/) | Purpose |
|---|---|
attention.rs | CrossViewpointAttention, GeometricBias, softmax with G_bias |
geometry.rs | GeometricDiversityIndex, Cramér, Rao bounds, Fisher Information |
coherence.rs | Phase-phasor coherence, hysteresis gate |
fusion.rs | MultistaticArray aggregate root, domain events |
