https://scholars.lib.ntu.edu.tw/handle/123456789/413025
標題: | WiFi action recognition via vision-based methods | 作者: | Chang J.-Y. Lee K.-Y. Lin K.C.-J. Hsu W. |
關鍵字: | action recognition; texture; vision-based; WiFi | 公開日期: | 2016 | 卷: | 2016-May | 起(迄)頁: | 2782-2786 | 來源出版物: | IEEE International Conference on Acoustics, Speech and Signal Processing | 摘要: | Action recognition via WiFi has caught intense attention recently because of its ubiquity, low cost, and privacy-preserving. Observing Channel State Information (CSI, a fine-grained information computed from the received WiFi signal) resemblance to texture, we transform the received CSI into images, extract features with vision-based methods and train SVM classifiers for action recognition. Our experiments show that regarding CSI as images achieves an accuracy above 85%. Our contributions include:, ? To our best knowledge, we are the first to investigate the feasibility of processing CSI by vision-based methods with extendable learning-based framework. ? We regard CSI of each Tx-Rx pair as a channel and investigate early and late fusion of multi-channels. ? We could know where and what action user performs with location-awareness classification. ? 2016 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/413025 | ISBN: | 9781479999880 | ISSN: | 15206149 | DOI: | 10.1109/ICASSP.2016.7472184 |
顯示於: | 資訊工程學系 |
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