Real-Time Human Activity Recognition System Exploiting Ubiquitous Wi-Fi Signals

2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI)(2021)

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摘要
In recent years, the development of wireless network provides the hardware foundation for wireless perception within indoor environment. The wireless sensing system has been applied in many fields, such as intrusion detection, search rescue, gesture recognition and abnormal human activities detection such as falling, wandering behaviour, breathing and heart rates and so on. Among of them, Wi-Fi sensing has proven to be effective since it exploits off-the-shelf low-cost small wireless devices operating at 2.4 GHz frequency band and also a potential field for real-time sensing method for human recognition. This paper presents foundation for real-time Wi-Fi sensing system to detect various human activities when performed in indoor settings.
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关键词
MIMO,Wi-Fi,Human Activity Recognition,Channel State Information (CSI),RF signals,Machine Learning
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