Wi-Res: a human motion recognition method  based on CSI signal

Dongzhi He; Longhang Guo; Kai Niu

doi:10.1117/12.2626839

14 February 2022 Wi-Res: a human motion recognition method based on CSI signal

Dongzhi He, Longhang Guo, Kai Niu

Proceedings Volume 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021); 121610N (2022) https://doi.org/10.1117/12.2626839
Event: 4th International Conference on Informatics Engineering and Information Science, 2021, Tianjin, China

Abstract

The action recognition method based on Wi-Fi is one of the research focuses in recent years. Existing methods have problems with complex noise processing and weak classification ability. To solve the limitation of existing human action recognition methods, this paper proposes a human action recognition solution that is a method based on Wi-Fi signal and the residual network (Wi-Res). First, the method captures human motion information (running, walking, sitting, standing, jumping) using CSI (Channel State Information) signals and constructs motion templates based on time series. Second, this work uses the obtained motion templates as basic input units. Third, the Wi-Res extracts feature through convolutional neural networks and adds residual connections to solve problems, such as gradient disappearance. The method can describe motion on a longer time scale. The human action recognition method based on the residual network receives an accuracy rate of about 97% for human action recognition when tested in indoors.

Citation Download Citation

Dongzhi He, Longhang Guo, and Kai Niu "Wi-Res: a human motion recognition method based on CSI signal", Proc. SPIE 12161, 4th International Conference on Informatics Engineering & Information Science (ICIEIS2021), 121610N (14 February 2022); https://doi.org/10.1117/12.2626839

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KEYWORDS

Gait analysis

Feature extraction

Signal attenuation

Antennas

Computing systems

Detection and tracking algorithms

Motion models

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