Enhanced Human Activity Recognition Using Wi-Fi Sensing: Leveraging Phase and Amplitude with Attention Mechanisms

Enhanced Human Activity Recognition Using Wi-Fi Sensing: Leveraging Phase and Amplitude with Attention Mechanisms

Wi-Fi-based human activity recognition (HAR) is a non-intrusive and privacy-preserving method that leverages Channel State Information (CSI) for identifying human activities. However, existing approaches often struggle with robust feature extraction, especially in dynamic and multi-environment scena...

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Hlavní autoři: Thai Duy Quy, Lin, Chih-Yang, Shih, Timothy K
Médium: Journal article
Jazyk:English
Vydáno: 2025
Témata:
Wi-Fi sensing; channel state information (CSI); gate residual network; human activity recognition (HAR); multi-head attention; multi-scale convolutional neural networks; phase and amplitude
On-line přístup:https://scholar.dlu.edu.vn/handle/123456789/5040
https://www.mdpi.com/1424-8220/25/4/1038
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