Depends on the adversary's objective. The DensePose paper is only one of hundreds of papers on Wi-Fi Sensing for different activities, over ~10 years of funded

Depends on the adversary's objective. The DensePose paper is only one of hundreds of papers on Wi-Fi Sensing for different activities, over ~10 years of funded research, https://news.ycombinator.com/item?id=34485816 https://news.ycombinator.com/item?id=34485816. E.g. keystroke recognition can be done with a single passive receiver, https://news.ycombinator.com/item?id=34485613 https://news.ycombinator.com/item?id=34485613 Some research is less dependent on the training environment, https://techxplore.com/news/2021-11-winect-tracks-3d-human-poses.html https://techxplore.com/news/2021-11-winect-tracks-3d-human-p... > wireless sensing systems .. mostly rely on models that were pre-trained on a fixed set of known activities, thus they can only classify a limited number of human poses or movements .. our system uses signal processing techniques to separate the Wi-Fi signals reflected from each moving limb and track the trajectory of each limb .. Winect could track free-form human activities with centimeter-level accuracy in a variety of challenging environments and scenarios. Dec 2022 survey paper categorized recent research on wireless device-free human sensing, https://dl.acm.org/doi/10.1145/3530682 https://dl.acm.org/doi/10.1145/3530682 > WDHS systems involve three primary sensing task types. The first type, behavior recognition .. second type is movement tracking .. The third type, user identification, leverages the unique features in behaviors to identify who performs the movements .. we believe that more context-aware multi-modal systems will be proposed to handle the complex sensing tasks in real life.