this post was submitted on 25 Jul 2025
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Humans can be tracked with unique 'fingerprint' based on how their bodies block Wi-Fi signals (www.theregister.com)
submitted 2 days ago* (last edited 2 days 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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[–] Pulptastic@midwest.social 3 points 18 hours ago

Yep it has to be random to mess with the algorithm. You could have fun and cut different shapes each day.