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.
Everything is incremental progress in some way.
I remember years back someone doing experiments with Wi-Fi to see if a room was occupied based on signal attenuation.
This just looks like an extension of that.
Not everything is a giant leap