| > Because mmWave radar doesn’t process visual light, what it sees is not personally identifiable. With machine learning improvements, identification and more are possible. 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. Prior discussion of WiFi Sensing: Jan 2022, https://news.ycombinator.com/item?id=29901587 May 2021, https://news.ycombinator.com/item?id=27123493 400+ research papers on wireless activity sensing, showing steady improvement in detection techniques, https://dhalperi.github.io/linux-80211n-csitool/#external Today, specialist devices or targeted attacks can monitor human activity through walls and closed doors. But that's a world away from the ubiquitous transparency scheduled for commodity WiFi 7 in 2024. If regulators or lawyers don't step in, homes and some businesses may need RF shielding. |