wifi-densepose/v2/crates/wifi-densepose-sensing-server
arsen 81e848ef2a feat(mmwave): ADR-122 — HLK-LD2402 Engineering Mode + heart rate
ADR-121 (Normal Mode) gave us distance and a passable breathing
estimate but couldn't see the heartbeat — cardiac chest displacement
(~0.5 mm) is well below the cm quantisation of `distance:NNN`.

Engineering Mode streams per-range-gate energy at the same 6 Hz
cadence (15 motion + 15 micromotion gates, u32 LE each). The
micromotion bin at the target's distance carries enough cardiac
modulation for FFT peak-detection in the 0.8-2.0 Hz band.

Live result, seated operator ~1.5 m from the radar:

  🫁 📡 13.0 BPM · 37%   норма 12-20
  💓 📡 76 BPM · 63%     норма 60-100

Implementation:
- Send enable-config → set-mode(0x04) → disable-config on startup;
  fall back to Normal-Mode ASCII parsing if the sequence fails.
- Binary frame parser: F4 F3 F2 F1 | len(2) | 0x01 | dist(2) | 8z |
  motion[15]×u32 LE | micro[15]×u32 LE | F8 F7 F6 F5. Gate the ASCII
  line-drain on the engineering_mode flag — first cut ran both
  unconditionally and destroyed 80% of partial frames mid-buffer.
- Target-gate selection: distance-bracketed gate first, mid-range
  micro-peak fallback, gate 1 default. Per-gate ring buffer of
  log-energies feeds a Hann + radix-2 FFT.
- /api/v1/mmwave/vitals now returns real `heart_rate_bpm`.
- raw.html: 💓 📡 pill now shows real values (no more "n/a"
  placeholder).
- New probe script v2/scripts/probe_ld2402_engineering.py used to
  reverse-engineer the wire format; kept in tree for next time.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 13:33:14 +07:00
..
src feat(mmwave): ADR-122 — HLK-LD2402 Engineering Mode + heart rate 2026-05-18 13:33:14 +07:00
static feat(mmwave): ADR-122 — HLK-LD2402 Engineering Mode + heart rate 2026-05-18 13:33:14 +07:00
tests feat(adr-117): process hygiene + pose path honesty + audit sweep 2026-05-17 19:24:04 +07:00
Cargo.toml feat(adr-121): HLK-LD2402 mmWave radar live readout in UI 2026-05-18 11:27:28 +07:00
README.md chore(repo): rename rust-port/wifi-densepose-rs → v2/ (flatten to one level) (#427) 2026-04-25 21:28:13 -04:00

README.md

wifi-densepose-sensing-server

Crates.io Documentation License

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 CsiFrame representation.
  • 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 .rvf file 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 netsh integration for BSSID discovery via wifi-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
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