“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.”

  • @gedaliyahOP
    link
    English
    110 months ago

    Interesting! It could theoretically act like a Kinect if it were advanced enough, and you wouldn’t need any additional hardware.