From a 2021 paper on IEEE 802.11bf Wi-Fi Sensing, https://arxiv.org/pdf/2103.14918.pdf
> Indeed, it has been shown that SENS-based classifiers can infer privacy-critical information such as keyboard typing, gesture recognition and activity tracking ... since Wi- Fi signals can penetrate hard objects and can be used without the presence of light, end-users may not even realize they are being tracked .. individuals should be provided the opportunity to opt out of SENS services – to avoid being monitored and tracked by the Wi-Fi devices around them. This would require the widespread introduction of reliable SENS algorithm for human or animal identification.
200 comments on privacy vs. utility, Jan 2022, https://news.ycombinator.com/item?id=29901587
Government secret services have gone and re-built the houses of high-profile raid targets before. And it's only a matter of time until simulation technology becomes powerful enough to do a "good enough" digital recreation from blueprints.
> multiple people moving was not evaluated by this tech/probably harder to achieve
At least one scenario in the article mentions "a room with several people". People moving around is just a question of speeding up data collection and analysis.
> With that in mind, I think privacy-invasion capability of this technology is exaggerated by some comments here.
The key thing is, what is public research grade now, is likely already a developed asset in government toolkits. And now that the general public has access to such technology, it will - more likely than not, given it can be done on 50$ low-cost devices - be commoditized, particularly where there is a financial interest in tracking people. I think a good candidate will be supermarkets and similar stores - at least in Europe, stuff like running analytics on surveillance cameras is pretty frowned upon under GDPR, but something like wifi-based tracking should be relatively unproblematic.