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Researchers at La Sapienza University of Rome have unveiled a cutting-edge body-scanning technology dubbed “Who-Fi,” which utilizes Wi-Fi signals to recognize individuals even through walls and without the need for cameras. By analyzing the disruption Wi-Fi signals undergo when interacting with human bodies, this innovative system pairs Channel State Information (CSI) with advanced deep learning (using a Deep Neural Network with Transformer-based encoder) to identify people with an accuracy of up to 95.5%. While promising, the technology, tested only on a small group in controlled settings, raises significant privacy concerns regarding unnoticed surveillance and the potential for misuse. This development opens a new dialogue on the balance between technological innovation and ethical privacy standards.