Scientists use Wi-Fi routers to see humans through walls


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Scientists from Carnegie Mellon University have developed an inexpensive way to see people through walls by using two Wi-Fi channels to capture the 3D shape and form of the person. .

The researchers show in a new paper how they used a deep neural network called DensePose to map Wi-Fi signals (phase and amplitude) to UV values, which is when the skin is projected. of a 3D model to a 2D image for a computer generated print. photo.

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DensePose was developed by researchers at Imperial College London, Facebook AI, and University College London.

Carnegie Mellon researchers with DensePose, previously reported by Vice, are able to accurately map the poses of multiple subjects with an off-the-shelf 1D sensor – Wi-Fi antennas – than expensive RGB cameras, LiDAR, and radars. In addition, they can use Wi-Fi to identify a person and their pose, rather than being able to directly locate an object in a room.

“The results of the study show that our model can compare the behavior of many subjects, including the comparison of image types, by using Wi-Fi signals in the same way. , and privacy-preserving algorithms for human identification,” Jiaqi Geng, Dong Huang, and Fernando De la Torre explain in their paper, DensePose From WiFi.

The researchers believe their Wi-Fi could be used to get people in the home in home health care, where patients don’t want to be monitored with a camera in places like including the bathroom or the sensors and monitors.

Importantly, the Wi-Fi monitoring system is not affected by poor lighting or obstacles, such as walls. Also, it requires very little setup, using equipment that most people have at home. The two TP Link Wi-Fi controllers used in the study cost about $30 each, versus about $700 for a standard LiDAR.

“We believe that Wi-Fi signals can use RGB images for RGB images for human perception in some cases. There is little illumination and occlusion in Wi-Fi solutions used for internal surveillance. In addition, they protect the privacy of individuals. and the necessary items can be purchased at a reasonable price,” the researchers wrote.

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“In fact, most families in developing countries already have Wi-Fi at home, and this technology can be expanded to monitor the well-being of the elderly or detect suspicious behaviors. at home.”

As the researchers noted, there is much literature on the perception, analysis, and perception of image and video, but very little on the topic of human perception from Wi -Fi or radar.


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