WiFi DensePose: WiFi-based dense human pose estimation system through walls

Summary

WiFi DensePose A cutting-edge WiFi-based human pose estimation system that leverages Channel State Information (CSI) data and advanced machine learning to provide real-time, privacy-preserving pose detection without cameras. 🚀 Key Features Privacy-First : No cameras required - uses WiFi signals for pose detection : No cameras required - uses WiFi signals for pose detection Real-Time Processing : Sub-50ms latency with 30 FPS pose estimation : Sub-50ms latency with 30 FPS pose estimation Multi-Person Tracking : Simultaneous tracking of up to 10 individuals : Simultaneous tracking of up to 10 individuals Domain-Specific Optimization : Healthcare, fitness, smart home, and security applications : Healthcare, fitness, smart home, and security applications Enterprise-Ready : Production-grade API with authentication, rate limiting, and monitoring : Production-grade API with authentication, rate limiting, and monitoring Hardware Agnostic : Works with standard WiFi routers and access points : Works with standard WiFi routers and access points Comprehensive Analytics : Fall detection, activity recognition, and occupancy monitoring : Fall detection, activity recognition, and occupancy monitoring WebSocket Streaming : Real-time pose data streaming for live applications : Real-time pose data streaming for live applications 100% Test Coverage: Thoroughly tested with comprehensive test suite 📋 Table of Contents 🏗️ System Architecture WiFi DensePose consists of several key components working together: ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │ WiFi Router │ │ WiFi Router │ │ WiFi Router │ │ (CSI Source) │ │ (CSI Source) │ │ (CSI Source) │ └─────────┬───────┘ └─────────┬───────┘ └─────────┬───────┘ │ │ │ └──────────────────────┼──────────────────────┘ │ ┌─────────────▼─────────────┐ │ CSI Data Collector │ │ (Hardware Interface) │ └─────────────┬─────────────┘ │ ┌─────────────▼─────────────┐ │ Signal Processor │ │ (Phase Sanitization) │ └─────────────┬─────────────┘...