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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Những tác giả chính: | , , |
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格式: | Journal article |
語言: | English |
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2025
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在線閱讀: | https://scholar.dlu.edu.vn/handle/123456789/5040 https://www.mdpi.com/1424-8220/25/4/1038 |
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Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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