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arXiv · 1810.03064

CSI-Net: Unified Human Body Characterization and Pose Recognition

Fei Wang·Jinsong Han·Shiyuan Zhang·Xu He·Dong Huang
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Abstract

We build CSI-Net, a unified Deep Neural Network~(DNN), to learn the representation of WiFi signals. Using CSI-Net, we jointly solved two body characterization problems: biometrics estimation (including body fat, muscle, water, and bone rates) and person recognition. We also demonstrated the application of CSI-Net on two distinctive pose recognition tasks: the hand sign recognition (fine-scaled action of the hand) and falling detection (coarse-scaled motion of the body).

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Fei Wang, Jinsong Han, Shiyuan Zhang, Xu He, Dong Huang. 2018-10-07. CSI-Net: Unified Human Body Characterization and Pose Recognition. https://arxiv.org/abs/1810.03064

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