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Scientists turn WiFi routers into ‘cameras’ that can see people through walls
Researchers at Carnegie Mellon University have repurposed a common piece of tech present in virtually every household to function as a tracking technology. By utilizing WiFi routers, they have developed a method for detecting the three-dimensional shape and movements of human bodies in a room, without the use of cameras or expensive LiDAR hardware.
“We believe that WiFi signals can serve as a ubiquitous substitute for RGB images for human sensing in certain instances. Illumination and occlusion have little effect on WiFi-based solutions used for interior monitoring. In addition, they protect individuals’ privacy and the required equipment can be bought at a reasonable price. In fact, most households in developed countries already have WiFi at home, and this technology may be scaled to monitor the well-being of elder people or just identify suspicious behaviors at home,” the authors wrote in their study, which is yet to be formally peer-reviewed and is available on the preprint server ArXiv.
The team used DensePose, a system for mapping all of the pixels on the surface of a human body in a photo, developed by researchers at Facebook’s AI lab and a London-based team. What makes DensePose really powerful is its ability to identify over two dozen key points and areas in the human body, such as joints and body parts like the arms, head, and torso, allowing the AI to describe a person’s pose. Combining this with a deep neural network, they were able to map WiFi signals’ phase and amplitude sent and received by routers to coordinates on human bodies
h/t Coastie Patriot
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