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Humans can be tracked with unique 'fingerprint' based on how their bodies block Wi-Fi signals (www.theregister.com)

submitted 1 day ago* (last edited 1 day ago) by bignose@programming.dev to c/technology@lemmy.world

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The Sapienza computer scientists say Wi-Fi signals offer superior surveillance potential compared to cameras because they're not affected by light conditions, can penetrate walls and other obstacles, and they're more privacy-preserving than visual images.

[…] The Rome-based researchers who proposed WhoFi claim their technique makes accurate matches on the public NTU-Fi dataset up to 95.5 percent of the time when the deep neural network uses the transformer encoding architecture.

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[–] chunes@lemmy.world 18 points 12 hours ago (1 children)

95.5% accuracy is abysmal for any use case these people want to use it for

[–] nutsack@lemmy.dbzer0.com 11 points 7 hours ago (1 children)

what if you combine it with other types of imaging

[–] Evotech@lemmy.world 4 points 7 hours ago

Dingdingding