With the help of AI, the researchers were able to detect the movement of human bodies in a room using Wi-Fi routers,even through walls.
Researchers at Carnegie Mellon University have repurposed a common piece of tech found inn virtually every household into a tracking technology.
They used radio signals from WiFi routers to detect and track the three-dimensional shape and movements of human bodies in a room. They didn’t have to use any cameras or expensive LiDAR hardware.
The team used DensePose, a system for mapping all of the pixels on the surface of a human body in a photo, developed by researchers at Facebook’s AI lab and a London-based team. What makes DensePose powerful is its ability to identify over two dozen key points and areas in the human body, such as joints and body parts like the arms, head, and torso. This allows the AI to describe a person’s pose.
