Your body can be fingerprinted and tracked using Wi-Fi signals

Researchers at La Sapienza University of Rome developed WhoFi, a system that identifies and tracks specific people based on how their bodies alter Wi-Fi signals, reaching up to 95.5 percent accuracy with its neural network according to the research paper. The article states that earlier attempts in 2020 reached only 75 percent accuracy. The tests used signals from two TP-Link N750 routers and 14 people wearing different combinations of clothing and backpacks. The system is still a proof of concept that requires advanced software.