Wi-Motion: A Robust Human Activity Recognition Using WiFi Signals
Recent research has shown that human motions and positions can be recognized through WiFi signals. The key intuition is that different motions and positions introduce different multipath distortions in WiFi signals and generate different patterns in the time-series of channel state information (CSI)...
Main Authors: | Heju Li, Xin He, Xukai Chen, Yinyin Fang, Qun Fang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8873550/ |
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