“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.”

  • SplashJackson@lemmy.ca
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    10 months ago

    I heard that they can analyze window glass to get audio recordings because as a slow moving liquid, vibrations in the air leave an imprint on the glass.

    Sounds like Fringe Science to me, honestly

    • bionicjoey@lemmy.ca
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      10 months ago

      The “glass is a liquid” thing is a myth. The reason why old windows tended to be thicker at the bottom (which is usually the cited reason for this myth) is because windowpane making techniques weren’t very good and so they would always have one thicker side. The builders would naturally install the pane with that side on the bottom because it was more stable. Glass doesn’t “flow” over time, it’s a solid crystalline amorphous material.

      • wyrmroot@programming.dev
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        10 months ago

        You had it until the end. Glass has an amorphous structure, not crystalline, but is still very much a solid.