Commit Graph

5 Commits

Author SHA1 Message Date
ruv
e99a41434d chore: bump workspace to v0.3.0 and publish 15 crates to crates.io
- Workspace version: 0.2.0 → 0.3.0
- All internal path dependency versions updated
- ruvector-crv/gnn gated behind optional `crv` feature (removed [patch.crates-io])
- All 15 crates published to crates.io at v0.3.0

Published crates (in order):
  1. wifi-densepose-core
  2. wifi-densepose-vitals
  3. wifi-densepose-wifiscan
  4. wifi-densepose-hardware
  5. wifi-densepose-config
  6. wifi-densepose-db
  7. wifi-densepose-signal
  8. wifi-densepose-nn
  9. wifi-densepose-ruvector
  10. wifi-densepose-api
  11. wifi-densepose-train
  12. wifi-densepose-mat
  13. wifi-densepose-wasm
  14. wifi-densepose-sensing-server
  15. wifi-densepose-cli

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-02 08:39:23 -05:00
ruv
60e0e6d3c4 feat: ADR-033 CRV signal-line integration + ruvector-crv 6-stage pipeline
Implement full CRV (Coordinate Remote Viewing) signal-line protocol
mapping to WiFi CSI sensing via ruvector-crv:

- Stage I: CsiGestaltClassifier (6 gestalt types from amplitude/phase)
- Stage II: CsiSensoryEncoder (texture/color/temperature/sound/luminosity/dimension)
- Stage III: Mesh topology encoding (AP nodes/links → GNN graph)
- Stage IV: Coherence gate → AOL detection (signal vs noise separation)
- Stage V: Pose interrogation via differentiable search
- Stage VI: Person partitioning via MinCut clustering
- Cross-session convergence for cross-room identity

New files:
- crv/mod.rs: 1,430 lines, 43 tests
- crv_bench.rs: 8 criterion benchmarks (gestalt, sensory, pipeline, convergence)
- ADR-033: 740-line architecture decision with 30+ acceptance criteria
- patches/ruvector-crv: Fix ruvector-gnn 2.0.5 API mismatch

Dependencies: ruvector-crv 0.1.1, ruvector-gnn 2.0.5

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-01 22:21:59 -05:00
ruv
37b54d649b feat: implement ADR-029/030/031 — RuvSense multistatic sensing + field model + RuView fusion
12,126 lines of new Rust code across 22 modules with 285 tests:

ADR-029 RuvSense Core (signal crate, 10 modules):
- multiband.rs: Multi-band CSI frame fusion from channel hopping
- phase_align.rs: Cross-channel LO phase rotation correction
- multistatic.rs: Attention-weighted cross-node viewpoint fusion
- coherence.rs: Z-score per-subcarrier coherence scoring
- coherence_gate.rs: Accept/PredictOnly/Reject/Recalibrate gating
- pose_tracker.rs: 17-keypoint Kalman tracker with re-ID
- mod.rs: Pipeline orchestrator

ADR-030 Persistent Field Model (signal crate, 7 modules):
- field_model.rs: SVD-based room eigenstructure, Welford stats
- tomography.rs: Coarse RF tomography from link attenuations (ISTA)
- longitudinal.rs: Personal baseline drift detection over days
- intention.rs: Pre-movement prediction (200-500ms lead signals)
- cross_room.rs: Cross-room identity continuity
- gesture.rs: Gesture classification via DTW template matching
- adversarial.rs: Physically impossible signal detection

ADR-031 RuView (ruvector crate, 5 modules):
- attention.rs: Scaled dot-product with geometric bias
- geometry.rs: Geometric Diversity Index, Cramer-Rao bounds
- coherence.rs: Phase phasor coherence gating
- fusion.rs: MultistaticArray aggregate, fusion orchestrator
- mod.rs: Module exports

Training & Hardware:
- ruview_metrics.rs: 3-metric acceptance test (PCK/OKS, MOTA, vitals)
- esp32/tdm.rs: TDM sensing protocol, sync beacons, drift compensation
- Firmware: channel hopping, NDP injection, NVS config extensions

Security fixes:
- field_model.rs: saturating_sub prevents timestamp underflow
- longitudinal.rs: FIFO eviction note for bounded buffer

README updated with RuvSense section, new feature badges, changelog v3.1.0.

Co-Authored-By: claude-flow <ruv@ruv.net>
2026-03-01 21:39:02 -05:00
ruv
342e5cf3f1 docs: add pre-merge checklist and remove SWARM_CONFIG.md 2026-03-01 11:27:47 -05:00
Claude
ed3261fbcb feat(ruvector): implement ADR-017 as wifi-densepose-ruvector crate + fix MAT warnings
New crate `wifi-densepose-ruvector` implements all 7 ruvector v2.0.4
integration points from ADR-017 (signal processing + MAT disaster detection):

signal::subcarrier   — mincut_subcarrier_partition (ruvector-mincut)
signal::spectrogram  — gate_spectrogram (ruvector-attn-mincut)
signal::bvp          — attention_weighted_bvp (ruvector-attention)
signal::fresnel      — solve_fresnel_geometry (ruvector-solver)
mat::triangulation   — solve_triangulation TDoA (ruvector-solver)
mat::breathing       — CompressedBreathingBuffer 50-75% mem reduction (ruvector-temporal-tensor)
mat::heartbeat       — CompressedHeartbeatSpectrogram tiered compression (ruvector-temporal-tensor)

16 tests, 0 compilation errors. Workspace grows from 14 → 15 crates.

MAT crate: fix all 54 warnings (0 remaining in wifi-densepose-mat):
- Remove unused imports (Arc, HashMap, RwLock, mpsc, Mutex, ConfidenceScore, etc.)
- Prefix unused variables with _ (timestamp_low, agc, perm)
- Add #![allow(unexpected_cfgs)] for onnx feature gates in ML files
- Move onnx-conditional imports under #[cfg(feature = "onnx")] guards

README: update crate count 14→15, ADR count 24→26, add ruvector crate
table with 7-row integration summary.

Total tests: 939 → 955 (16 new). All passing, 0 regressions.

https://claude.ai/code/session_0164UZu6rG6gA15HmVyLZAmU
2026-03-01 15:50:05 +00:00