“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.”
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Here’s a video summary of the paper I thought did a good job too from two minute papers.
Here is an alternative Piped link(s):
https://piped.video/kBFMsY5ZP0o
Piped is a privacy-respecting open-source alternative frontend to YouTube.
I’m open-source; check me out at GitHub.
Thank you for the vid link, got a new channel subscribed now. Great starting point to show people and dive down the rabbit hole with.
