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arXiv · 1907.06005

BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis

Yu Gu·Xiang Zhang·Zhi Liu·Fuji Ren
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Abstract

The ever evolving informatics technology has gradually bounded human and computer in a compact way. Understanding user behavior becomes a key enabler in many fields such as sedentary-related healthcare, human-computer interaction (HCI) and affective computing. Traditional sensor-based and vision-based user behavior analysis approaches are obtrusive in general, hindering their usage in realworld. Therefore, in this article, we first introduce WiFi signal as a new source instead of sensor and vision for unobtrusive user behaviors analysis. Then we design BeSense, a contactless behavior analysis system leveraging signal processing and computational intelligence over WiFi channel state information (CSI). We prototype BeSense on commodity low-cost WiFi devices and evaluate its performance in realworld environments. Experimental results have verified its effectiveness in recognizing user behaviors.

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Yu Gu, Xiang Zhang, Zhi Liu, Fuji Ren. 2020-03-23. BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis. https://doi.org/10.1109/mci.2019.2937610

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