Through-Wall Human Mesh Recovery Using Radio Signals
This paper presents RF-Avatar, a neural network model that can estimate 3D meshes of the human body in the presence of occlusions, baggy clothes, and bad lighting conditions. We leverage that radio frequency (RF) signals in the WiFi range traverse clothes and occlusions and bounce off the human body...
Main Authors: | Zhao, Mingmin, Liu, Yingcheng, Raghu, Aniruddh, Zhao, Hang, Li, Tianhong, Torralba, Antonio, Katabi, Dina |
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Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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Online Access: | https://hdl.handle.net/1721.1/129671 |
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