“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.”

    • Mossy Feathers (They/Them)@pawb.social
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      6 months ago

      Also VR nerds. Current tracking is either based on the headset, so you can’t move your arms unless the headset can see them, or your arms have to be seen by lighthouses, or you rely purely on gyroscope and accelerometers for tracking, which tend to drift. So either you have blind spots, have to deal with occlusion, or will slowly drift and have to recalibrate periodically. Wifi-based tracking seems like a neat idea tbh.

      Edit: considering wifi is just photons that aren’t wiggling fast enough for us to see, I’d be surprised if the government doesn’t already have this technology behind closed doors.