關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Latent feature learning for activity recognition using simple sensors in smart homes

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序號 學年期 教師動態
1 106/2 資工系 張志勇 教授 期刊論文 發佈 Latent feature learning for activity recognition using simple sensors in smart homes , [106-2] :Latent feature learning for activity recognition using simple sensors in smart homes期刊論文Latent feature learning for activity recognition using simple sensors in smart homesGuilin Chen;Aiguo Wang;Shenghui Zhao;Li Liu;Chih-Yung ChangActivity recognition Smart home Feature learning Autoencoder Shallow modelMultimedia Tools and Applications, vol. 77,no.12 pp. 15201-15219Activity recognition is an important step towards monitoring and evaluating the functional health of an individual, and it potentially promotes human-centric ubiquitous applications in smart homes particularly for senior healthcare. The nature of human activity characterized by a high degree of complexity and uncertainty, however, poses a great challenge to the design of good feature representations and the optimization of classifiers towards building a robust model for human activity recognition. In this study, we propose to exploit deep learning techniques to automatically learn high-level features from the binary sensor
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