“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.”

  • Xavier@lemmy.ca
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    10 months ago

    Henceforth, the building code shall make mandatory that every room be perfectly grounded Faraday cages (/s).

    Still, imagine lethal drones integrated with that technology (of course, they already have infrared, maybe even some adequate wavelength of X-rays).

    Nevertheless, pretty cool to see how far we can take preexisting technology with the help of some deep learning layers.