Carnegie Mellon researchers view 3D human bodies using Wi-Fi signals

Carnegie Mellon University researchers successfully used Wi-Fi routers to detect 3D shapes and movements of people in a room, Vice reports. They used a system called “DensePose,” created by a team of London researchers and Facebook AI researchers. The Carnegie Mellon team “developed a deep neural network that maps Wi-Fi signals’ phase and amplitude sent and received by routers to coordinates on human bodies."