CSI data Generation data Learned features Outputs Generation Stage Features Learning Stage Task Stage !

We build CSI-Net, a unified Deep Neural Network (DNN), to learn 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). Code has been made publicly at https://github.com/geekfeiw/CSI-Net.

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