ADR-115 §3.12 keystone. Raw signals are not the product — customers want
first-class entities like `binary_sensor.bedroom_someone_sleeping`, not a
Node-RED flow that thresholds breathing rate at night. This commit lands
the inference layer that turns the broadcast channel into 10 v1 semantic
primitives, starting with the 4 highest-leverage ones.
Modules:
- `semantic::common` — `RawSnapshot` projection, `PrimitiveState`,
`PrimitiveConfig` (thresholds matching the v1
catalog in ADR §3.12), `in_window` for time-gated
primitives, `Reason` explainability struct.
- `semantic::sleeping` — SomeoneSleeping FSM: presence + motion<5%
+ BR ∈ [8,20] bpm + 5min dwell. Exit on
presence-drop (immediate) or motion>15%
for 30s.
- `semantic::room_active` — motion >10% in 30s window → ON. Exit on
presence-drop or 10min idle.
- `semantic::bathroom` — presence + zone tagged as bathroom. Safe
in privacy mode (no biometrics in the
derivation).
- `semantic::no_movement` — presence + motion<1% for 30min → ON.
Safety-check primitive for aging-in-place.
- `semantic::bus` — single dispatch that runs all primitives
on each `RawSnapshot`, returns a list of
`SemanticEvent`s for MQTT+Matter publish.
Every primitive has:
- Warmup suppression (60s default, §3.12.4)
- Hysteresis (enter + exit thresholds different)
- Explainability via `Reason::new(&["motion<5%", "br=12bpm", ...])`
- Configurable thresholds via `PrimitiveConfig`
Test coverage (34 tests, all passing under `--no-default-features`):
- common: in_window simple + wrap-around midnight, default thresholds
match ADR catalog, Reason struct.
- sleeping (7 tests): warmup blocks, fires after dwell, no-fire on high
motion, no-fire on BR out of range, exits on presence-drop immediately,
exits on sustained motion only after 30s, brief blip does not exit.
- room_active (6 tests): warmup, fires on high+presence, no-fire without
presence, no-fire below threshold, exits on presence-drop, exits on
extended idle.
- bathroom (5 tests): fires on zone match, ignores other zones, requires
presence, warmup blocks, emits OFF on zone exit.
- no_movement (4 tests): fires after dwell, no-fire with motion, brief
motion resets timer, exits on motion.
- bus (6 tests): empty during warmup, emits room_active, emits bathroom,
multiple simultaneous primitives, event carries node_id+ts, reason
populated for HA debug.
Total cargo test count now:
cli: 6 + mqtt: 45 + semantic: 34 = 85 tests passing
P4.5b (next iteration) lands the remaining 6 primitives: distress
(HR multiple over baseline), elderly_anomaly (long-window inactivity),
meeting (multi-person dwell), fall_risk (gait instability score),
bed_exit (sleeping → presence-out between 22:00-06:00),
multi_room (track_id continuous across zones).
Refs #776.
Co-Authored-By: claude-flow <ruv@ruv.net>
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| .. | ||
| 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