Researchers Develop Way To Visualize Humans With WiFi Signals

January 20, 2023 | Other
Carnegie Mellon University

A trio of researchers at Carnegie Mellon University have used a neural network to take WiFi signals and accurate represent human forms when they are within range. They call it DensePose.

From the paper: “We developed a deep neural network that maps the phase and amplitude of WiFi signals to UV coordinates within 24 human regions. The results of the study reveal that our model can estimate the dense pose of multiple subjects, with comparable performance to image-based approaches, by utilizing WiFi signals as the only input.”