wifi-densepose-signal

State-of-the-art WiFi CSI signal processing for human pose estimation.

Overview

wifi-densepose-signal implements six peer-reviewed signal processing algorithms that extract human motion features from raw WiFi Channel State Information (CSI). Each algorithm is traced back to its original publication and integrated with the ruvector family of crates for high-performance graph and attention operations.

Algorithms

Features

• CSI preprocessing -- Noise removal, windowing, normalization via CsiProcessor.
• Phase sanitization -- Unwrapping, outlier removal, and smoothing via PhaseSanitizer.
• Feature extraction -- Amplitude, phase, correlation, Doppler, and PSD features.
• Motion detection -- Human presence detection with confidence scoring via MotionDetector.
• ruvector integration -- Graph min-cut (person matching), attention mechanisms (antenna and spatial attention), and sparse solvers (subcarrier interpolation).

Quick Start

use wifi_densepose_signal::{
    CsiProcessor, CsiProcessorConfig,
    PhaseSanitizer, PhaseSanitizerConfig,
    MotionDetector,
};

// Configure and create a CSI processor
let config = CsiProcessorConfig::builder()
    .sampling_rate(1000.0)
    .window_size(256)
    .overlap(0.5)
    .noise_threshold(-30.0)
    .build();

let processor = CsiProcessor::new(config);

Architecture

wifi-densepose-signal/src/
  lib.rs                 -- Re-exports, SignalError, prelude
  bvp.rs                 -- Body Velocity Profile (Widar 3.0)
  csi_processor.rs       -- Core preprocessing pipeline
  csi_ratio.rs           -- Conjugate multiplication (SpotFi)
  features.rs            -- Amplitude/phase/Doppler/PSD feature extraction
  fresnel.rs             -- Fresnel zone diffraction model
  hampel.rs              -- Hampel outlier filter
  motion.rs              -- Motion and human presence detection
  phase_sanitizer.rs     -- Phase unwrapping and sanitization
  spectrogram.rs         -- Time-frequency CSI spectrograms
  subcarrier_selection.rs -- Variance-based subcarrier selection

Related Crates

License

MIT OR Apache-2.0