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."
20 Jan. 2023
Carnegie Mellon researchers view 3D human bodies using Wi-Fi signals
Related stories
A view from DC: Double toil and trouble in Connecticut’s privacy amendment
Notes from the IAPP Canada: Taking meaningful steps to protect children online
US lawmakers find bipartisanship in opposition to UK's order on Apple encryption back door
A view from Brussels: Where does Brussels stand on sovereignty?
DAA's Self-Regulatory Principles undergoing review with eye toward leveraging IBA data with AI