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.
They can see you’re a person but not exactly who you are.
How is that a “fingerprint”?
Well they can identify you are the same person but not your identity… So it’s like a disenbodied fingerprint.
I suppose they could potentially make some database and train an AI on it someday to match to actual identities, but usefulness would be pretty limited at only 95% accuracy. That’s a false reading 1/20 times, so I suspect it would fail bigly to accurately recognize people from large data sets.
And when has something like that ever stopped anyone?
Well okay you’re not wrong, there is always some sucker out there.