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New Wi-Fi fingerprint system re-identifies people without devices
Italian researchers turn Wi-Fi signals into biometric tools, enabling passive tracking of individuals without phones using AI.
A team from La Sapienza University of Rome has developed a system called ‘WhoFi,’ which can generate a unique biometric identifier based on how a person’s body interacts with surrounding Wi-Fi signals. The researchers behind WhoFi, Danilo Avola, Daniele Pannone, Dario Montagnini, and Emad Emam, claim their system can match people with up to 95.5 percent accuracy using the public NTU-Fi dataset. “The core insight is that as a Wi-Fi signal propagates through an environment, its waveform is altered by the presence and physical characteristics of objects and people along its path,” the authors state in the paper.
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