“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.”

  • Maggoty@lemmy.world
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    10 months ago

    Duh? I don’t think anyone with the right field of study thought this wasn’t possible. It just doesn’t have good use cases.

    • deafboy@lemmy.world
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      10 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.

    • brianorca@lemmy.world
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      10 months ago

      There are already smart light bulbs you can buy off the shelf that use radio signals to see when somebody is in the room. Then it can turn on the lights automatically, without a camera or infrared sensor in the area.