CMU’s DensePose From WiFi: An Affordable, Accessible and Secure Approach to Human Sensing
In the new paper DensePose From WiFi, a Carnegie Mellon University research team proposes WiFi-based DensePose, a neural network architecture capable of estimating human dense pose using only WiFi signals in scenarios with occlusion and multiple people.
