WiFi DensePose: WiFi-based dense human pose estimation system through walls
4 months ago
- #WiFi-sensing
- #privacy-tech
- #pose-estimation
- WiFi-based human pose estimation system using Channel State Information (CSI) data and machine learning
- Privacy-first approach with no cameras required, using WiFi signals for pose detection
- Real-time processing with sub-50ms latency and 30 FPS pose estimation
- Multi-person tracking capability for up to 10 individuals simultaneously
- Domain-specific optimizations for healthcare, fitness, smart home, and security applications
- Enterprise-ready with production-grade API including authentication, rate limiting, and monitoring
- Hardware agnostic - works with standard WiFi routers and access points
- Comprehensive analytics including fall detection, activity recognition, and occupancy monitoring
- WebSocket streaming for real-time pose data in live applications
- 100% test coverage with a comprehensive test suite
- Easy installation via PyPI with options for GPU acceleration and development dependencies
- Docker support for containerized deployment
- Comprehensive CLI for system management and configuration
- Detailed documentation including user guides, API references, and deployment guides
- MIT licensed open-source project with active community contributions