AI built to track you through walls because, er, Parkinsons?

VID AI systems can track the movements of people hidden behind walls by inspecting radio waves reflected off their bodies, according to a new study. The model dubbed "RF-Pose" starts off by transmitting low power radio signals that can penetrate through walls using a wireless Wi-Fi device. These waves bounce back when reflected off a human body, creating heatmaps, and these are then processed by a neural network to build a two-dimensional stick figure representing the person behind the wall. During the training process, RF-Pose is trained using both the heatmap images created from their device and images taken from cameras. The researchers from the Massachusetts Institute of Technology (MIT) collected more than 50 hours of footage of people in 50 different environments, including people walking along corridors, or engaging in a lesson in a classroom.