Scientists develop method to identify people by how their bodies disrupt Wi-Fi

A new Wi-Fi-based technology developed by Italian researchers can identify individuals by how their bodies disrupt wireless signals, achieving up to 95.5% accuracy in tests. This "WhoFi" system uses deep learning to recognize unique body signatures from Wi-Fi signal alterations, potentially enabling pervasive tracking without cameras or devices. While touted as a privacy-conscious alternative to visual surveillance, critics warn of covert monitoring risks as Wi-Fi becomes ubiquitous.