[mzakharo1]

The paper trains a model that a. requires training data in a specific environment. Meaning, to deploy this tech, you need access to the space first to train this model. b. once trained, will not transfer its knowledge if routers are moved, or setup is deployed in a new area. c. training was done with just a single person moving. multiple people moving was not evaluated by this tech/probably harder to achieve. With that in mind, I think privacy-invasion capability of this technology is exaggerated by some comments here.

[transpute]

This specific paper is only one of several hundred papers from a decade of research leading to IEEE standardization, https://dhalperi.github.io/linux-80211n-csitool/#external

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

[rogers18445]

There are scenarios where you can record data first, and then train with later access to the space. Then process recorded data.

[mschuster91]

> Meaning, to deploy this tech, you need access to the space first to train this model.

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.

[autoexec]

Stores already commonly track people's movements and repeat visits by their cell phones. Bluetooth beacons are used to log any device that wanders near enough. No need for wifi tracking.

[nly]

Perfect for hotel rooms then