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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| Auteurs principaux: | , , |
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| Format: | Journal article |
| Langue: | English |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | 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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