collabray/wisense

Wi-Fi Vision: Device-free human pose estimation and activity recognition using ESP32 CSI and machine learning.

π RuView turns commodity WiFi signals into real-time spatial intelligence, vital sign monitoring, and presence detection — all without a single pixel of video.

Applications based on Wi-Fi CSI (Channel state information), such as indoor positioning, human detection

Detect motion, presence and breathing through walls with ordinary WiFi. ESP32-S3 captures 802.11 CSI, a Raspberry Pi 4 runs the DSP, a browser dashboard shows it live.

Human pose estimation using WiFi Channel State Information (CSI) and deep learning — enabling camera-free sensing through walls.

WiFi CSI non-invasive elderly fall detection (no camera)

Production-ready implementation of InvisPose - a revolutionary WiFi-based dense human pose estimation system that enables real-time full-body tracking through walls using commodity mesh routers

Teach three $10 ESP32-S3 boards to recognise what you're doing from WiFi alone, with your webcam as the teacher

Learning algorithm for human activity recognition with a commercial IEEE 802.11ac router