RuView is an open-source “WiFi DensePose” implementation leveraging multiple ESP32 nodes to turn WiFi signals into real-time human pose estimation, vital sign monitoring, and presence detection without relying on video cameras. WiFi DensePose is a sensing technique, first explored in academic research, that leverages WiFi signals to reconstruct human pose. RuView implements this technique in Rust or Python, and relies on your WiFi router and several ESP32 nodes to track body pose, detect breathing rate, and measure heart rate even through walls. As we’ll discuss below, this project has its own controversy, as some claim it’s fake. The solution relies on Channel State Information (CSI) disturbances caused by human movement to reconstruct body position, breathing rate, heart rate, and presence in real time using “physics-based signal processing and machine learning”. That obviously means you need CSI-capable hardware, and not all consumer WiFi nodes implement it. The project description lists various […]
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