CSI-Net: Unified Human Body Characterization and Action Recognition.
Year: 2018
Type: preprint
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).
Source: arXiv (Cornell University)
Authors: Fei Wang, Jinsong Han, Shiyuan Zhang, Xu He, Dong Huang
Institutions: Carnegie Mellon University, Zhejiang University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2895035788