Ships the SDK-independent half of the Matter Bridge production work:
## `matter::bridge` — endpoint tree assembly
`build_bridge_tree(nodes) -> BridgeTree` walks a list of `(node_id,
friendly_name, [EntityKind])` tuples and produces the Matter endpoint
graph the SDK will materialise:
EP 0 (BridgedDevicesAggregator)
EP 1 (BridgedNode for "Bedroom")
EP 2 (OccupancySensor for Presence + PersonCount vendor attr)
EP 3 (OccupancySensor for SomeoneSleeping)
EP 4 (GenericSwitch for FallDetected)
EP 5 (BridgedNode for "Living") …
Key invariants enforced by tests:
- `PersonCount` collapses onto Presence's endpoint as a vendor
attribute, never gets its own endpoint
- Biometric entities (HR/BR/pose) are skipped entirely — they
never appear in the tree
- Every child endpoint carries `BasicInformation` cluster
- Endpoint IDs are monotonic + unique (verified by sort+dedup test)
- Empty node list yields just the root aggregator
- Multi-node bridges keep per-node endpoint isolation
- `endpoint(id)` lookup resolves every assigned ID
## `matter::commissioning` — setup-code generation
`SetupCodeInput::dev(passcode, discriminator) -> ManualPairingCode`
produces the 11-digit human-readable Matter pairing code that users
scan/enter into Apple Home / Google Home / HA Matter integration.
Validates against Matter Core Spec §5.1.6.1 disallowed-values list
(11111111, 12345678, 87654321, all-same-digit patterns, 0). Rejects
oversized passcode (≥2^27) and discriminator (≥2^12).
The Verhoeff check digit is computed per spec §5.1.4.1.5 — full
D/P/INV tables transcribed. The check digit appended to the body is
self-consistent (verified by a recompute-and-compare test).
`ManualPairingCode::display_4_3_4()` returns the dashed form
(`1234-567-8901`) controllers actually display.
Bit-packing is a placeholder for v0.7.0 — the chunk values are
hashed-then-mod into their decimal widths so the output is
deterministic + input-sensitive + Verhoeff-valid, but not yet
bit-perfect spec-compliant. The fully spec-compliant code (with QR
base-38 payload) lands at P8b when `rs-matter` is integrated; see
ADR-115 §9.10. This module gives the SDK layer a stable testable
contract to build against.
## Tests
- 16 cluster mapping (existing)
- 11 bridge assembly (new): aggregator root, branch-per-node,
PersonCount collapsing, HR/BR skip, BasicInformation cluster on
every endpoint, monotonic+unique IDs, total endpoint count, lookup,
multi-node isolation, empty-node list
- 11 commissioning (new): dev VID/PID defaults, disallowed-passcode
rejection (12 spec values), oversized-passcode rejection,
oversized-discriminator rejection, canonical test vectors accepted,
11-digit code always, 4-3-4 display format, determinism, sensitivity
to passcode change, sensitivity to discriminator change, Verhoeff
self-consistency, invalid-input early return
Total lib tests: **410 passed**, 0 failed, 1 properly ignored.
Refs #776, PR #778.
Co-Authored-By: claude-flow <ruv@ruv.net>
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| .. | ||
| benches | ||
| examples | ||
| src | ||
| tests | ||
| Cargo.toml | ||
| README.md | ||
README.md
wifi-densepose-sensing-server
Lightweight Axum server for real-time WiFi sensing with RuVector signal processing.
Overview
wifi-densepose-sensing-server is the operational backend for WiFi-DensePose. It receives raw CSI
frames from ESP32 hardware over UDP, runs them through the RuVector-powered signal processing
pipeline, and broadcasts processed sensing updates to browser clients via WebSocket. A built-in
static file server hosts the sensing UI on the same port.
The crate ships both a library (wifi_densepose_sensing_server) exposing the training and inference
modules, and a binary (sensing-server) that starts the full server stack.
Integrates wifi-densepose-wifiscan for multi-BSSID WiFi scanning per ADR-022 Phase 3.
Features
- UDP CSI ingestion -- Receives ESP32 CSI frames on port 5005 and parses them into the internal
CsiFramerepresentation. - Vital sign detection -- Pure-Rust FFT-based breathing rate (0.1--0.5 Hz) and heart rate (0.67--2.0 Hz) estimation from CSI amplitude time series (ADR-021).
- RVF container -- Standalone binary container format for packaging model weights, metadata, and
configuration into a single
.rvffile with 64-byte aligned segments. - RVF pipeline -- Progressive model loading with streaming segment decoding.
- Graph Transformer -- Cross-attention bottleneck between antenna-space CSI features and the
COCO 17-keypoint body graph, followed by GCN message passing (ADR-023 Phase 2). Pure
std, no ML dependencies. - SONA adaptation -- LoRA + EWC++ online adaptation for environment drift without catastrophic forgetting (ADR-023 Phase 5).
- Contrastive CSI embeddings -- Self-supervised SimCLR-style pretraining with InfoNCE loss, projection head, fingerprint indexing, and cross-modal pose alignment (ADR-024).
- Sparse inference -- Activation profiling, sparse matrix-vector multiply, INT8/FP16 quantization, and a full sparse inference engine for edge deployment (ADR-023 Phase 6).
- Dataset pipeline -- Training dataset loading and batching.
- Multi-BSSID scanning -- Windows
netshintegration for BSSID discovery viawifi-densepose-wifiscan(ADR-022). - WebSocket broadcast -- Real-time sensing updates pushed to all connected clients at
ws://localhost:8765/ws/sensing. - Static file serving -- Hosts the sensing UI on port 8080 with CORS headers.
Modules
| Module | Description |
|---|---|
vital_signs |
Breathing and heart rate extraction via FFT spectral analysis |
rvf_container |
RVF binary format builder and reader |
rvf_pipeline |
Progressive model loading from RVF containers |
graph_transformer |
Graph Transformer + GCN for CSI-to-pose estimation |
trainer |
Training loop orchestration |
dataset |
Training data loading and batching |
sona |
LoRA adapters and EWC++ continual learning |
sparse_inference |
Neuron profiling, sparse matmul, INT8/FP16 quantization |
embedding |
Contrastive CSI embedding model and fingerprint index |
Quick Start
# Build the server
cargo build -p wifi-densepose-sensing-server
# Run with default settings (HTTP :8080, UDP :5005, WS :8765)
cargo run -p wifi-densepose-sensing-server
# Run with custom ports
cargo run -p wifi-densepose-sensing-server -- \
--http-port 9000 \
--udp-port 5005 \
--static-dir ./ui
Using as a library
use wifi_densepose_sensing_server::vital_signs::VitalSignDetector;
// Create a detector with 20 Hz sample rate
let mut detector = VitalSignDetector::new(20.0);
// Feed CSI amplitude samples
for amplitude in csi_amplitudes.iter() {
detector.push_sample(*amplitude);
}
// Extract vital signs
if let Some(vitals) = detector.detect() {
println!("Breathing: {:.1} BPM", vitals.breathing_rate_bpm);
println!("Heart rate: {:.0} BPM", vitals.heart_rate_bpm);
}
Architecture
ESP32 ──UDP:5005──> [ CSI Receiver ]
|
[ Signal Pipeline ]
(vital_signs, graph_transformer, sona)
|
[ WebSocket Broadcast ]
|
Browser <──WS:8765── [ Axum Server :8080 ] ──> Static UI files
Related Crates
| Crate | Role |
|---|---|
wifi-densepose-wifiscan |
Multi-BSSID WiFi scanning (ADR-022) |
wifi-densepose-core |
Shared types and traits |
wifi-densepose-signal |
CSI signal processing algorithms |
wifi-densepose-hardware |
ESP32 hardware interfaces |
wifi-densepose-wasm |
Browser WASM bindings for the sensing UI |
wifi-densepose-train |
Full training pipeline with ruvector |
wifi-densepose-mat |
Disaster detection module |
License
MIT OR Apache-2.0