From Real to Complex: Enhancing Radio-based Activity Recognition Using Complex-Valued CSI
Bo Wei, Wen Hu, Mingrui Yang, Chun Tung Chou

TL;DR
This paper investigates how radio frequency interference affects CSI-based activity recognition and introduces complex-valued CSI to enhance recognition accuracy in RFI-affected environments.
Contribution
It is the first to utilize complex-valued CSI for improving activity recognition performance amidst radio frequency interference.
Findings
RFI significantly degrades CSI-based activity recognition accuracy.
Complex-valued CSI improves robustness against RFI.
Proposed countermeasures mitigate RFI impact effectively.
Abstract
Activity recognition is an important component of many pervasive computing applications. Radio-based activity recognition has the advantage that it does not have the privacy concern and the subjects do not have to carry a device on them. Recently, it has been shown channel state information (CSI) can be used for activity recognition in a device-free setting. With the proliferation of wireless devices, it is important to understand how radio frequency interference (RFI) can impact on pervasive computing applications. In this paper, we investigate the impact of RFI on device-free CSI-based location-oriented activity recognition. We present data to show that RFI can have a significant impact on the CSI vectors. In the absence of RFI, different activities give rise to different CSI vectors that can be differentiated visually. However, in the presence of RFI, the CSI vectors become much…
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Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Context-Aware Activity Recognition Systems · IoT Networks and Protocols
