Claude
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ed3261fbcb
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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
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2026-03-01 15:50:05 +00:00 |
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Claude
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18170d7daf
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feat(adr-017): Complete all 7 ruvector integrations across signal and MAT crates
All ADR-017 integration points now implemented:
--- wifi-densepose-signal ---
1. subcarrier_selection.rs — ruvector-mincut: mincut_subcarrier_partition
uses DynamicMinCut to dynamically partition sensitive/insensitive
subcarriers via O(n^1.5 log n) graph bisection. Tests: 8 passed.
2. spectrogram.rs — ruvector-attn-mincut: gate_spectrogram applies
self-attention (Q=K=V, configurable lambda) over STFT time frames
to suppress noise/multipath interference. Tests: 2 added.
3. bvp.rs — ruvector-attention: attention_weighted_bvp uses
ScaledDotProductAttention for sensitivity-weighted BVP aggregation
across subcarriers (vs uniform sum). Tests: 2 added.
4. fresnel.rs — ruvector-solver: solve_fresnel_geometry estimates
unknown TX-body-RX geometry from multi-subcarrier Fresnel observations
via NeumannSolver. Regularization scaled to inv_w_sq_sum * 0.5 for
guaranteed convergence (spectral radius = 0.667). Tests: 10 passed.
--- wifi-densepose-mat ---
5. localization/triangulation.rs — ruvector-solver: solve_tdoa_triangulation
solves multi-AP TDoA positioning via 2×2 NeumannSolver normal equations
(Cramer's rule fallback). O(1) in AP count. Tests: 2 added.
6. detection/breathing.rs — ruvector-temporal-tensor: CompressedBreathingBuffer
uses TemporalTensorCompressor with tiered quantization for 50-75%
CSI amplitude memory reduction (13.4→3.4-6.7 MB/zone). Tests: 2 added.
7. detection/heartbeat.rs — ruvector-temporal-tensor: CompressedHeartbeatSpectrogram
stores per-bin TemporalTensorCompressor for micro-Doppler spectrograms
with hot/warm/cold tiers. Tests: 1 added.
Cargo.toml: ruvector deps optional in MAT crate (feature = "ruvector"),
enabled by default. Prevents --no-default-features regressions.
Pre-existing MAT --no-default-features failures are unrelated (api/dto.rs
serde gating, pre-existed before this PR).
Test summary: 144 MAT lib tests + 91 signal tests = all passed.
cargo check wifi-densepose-mat (default features): 0 errors.
cargo check wifi-densepose-signal: 0 errors.
https://claude.ai/code/session_01BSBAQJ34SLkiJy4A8SoiL4
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2026-02-28 16:22:39 +00:00 |
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Claude
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a17b630c02
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feat: Add wifi-densepose-mat disaster detection module
Implements WiFi-Mat (Mass Casualty Assessment Tool) for detecting and
localizing survivors trapped in rubble, earthquakes, and natural disasters.
Architecture:
- Domain-Driven Design with bounded contexts (Detection, Localization, Alerting)
- Modular Rust crate integrating with existing wifi-densepose-* crates
- Event-driven architecture for audit trails and distributed deployments
Features:
- Breathing pattern detection from CSI amplitude variations
- Heartbeat detection using micro-Doppler analysis
- Movement classification (gross, fine, tremor, periodic)
- START protocol-compatible triage classification
- 3D position estimation via triangulation and depth estimation
- Real-time alert generation with priority escalation
Documentation:
- ADR-001: Architecture Decision Record for wifi-Mat
- DDD domain model specification
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2026-01-13 17:24:50 +00:00 |
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