WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding

WhoFi: Deep Person Re-Identification via Wi-Fi Channel Signal Encoding
arxiv.org

"How Wi-Fi sensing became usable tech" (2024), https://www.technologyreview.com/2024/02/27/1088154/wifi-sen...

  There is one area that the IEEE is not working on, at least not directly: privacy and security.. IEEE fellow and member of the Wi-Fi sensing task group.. the goal is to focus on “at least get the sensing measurements done.” He says that the committee did discuss privacy and security: “Some individuals have raised concerns, including myself.” But they decided that while those concerns do need to be addressed, they are not within the committee’s mandate.

> 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 – in other words, 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.

Would this require a worldwide database of biometric signatures for each human that opts out?

Some people have flagged your post , but i think its just translated wrong?

WiFi passes through many walls, floors and ceilings and those reflections can be used for human identification.