“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.”

  • deafboy@lemmy.world
    link
    fedilink
    English
    arrow-up
    8
    arrow-down
    3
    ·
    5 months ago

    Full body vr tracking without sensors?

    The human presence sensors based on this are already on the consumer market, we just need to dial up the sensitivity.