淡江大學機構典藏:Item 987654321/75806
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    題名: RFID-Based Personalized Behavior Modeling
    作者: Hsu, Hui-huang;Cheng, Zixue;Shih, Timothy K.;Chen, Chien-chen
    貢獻者: 淡江大學資訊工程學系
    關鍵詞: RFID;ambient intelligence;clustering analysis;elderly care;machine learning
    日期: 2009-07
    上傳時間: 2012-04-16 09:52:34 (UTC+8)
    出版者: IEEE Computer Society
    摘要: In this research, we aim at building an intelligent system that can detect abnormal behavior for the elderly at home. Deployment of RFID tags at home helps us collect the daily movement data of the elderly. The clustering technique is then used to build a personalized model of normal behavior based on these RFID data. After the model is built, any incoming datum outside the model can be seen as abnormal. In this paper, we present the design of the system architecture and show the preliminary results for data collection and preprocessing.
    關聯: Proceedings of the Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing (UIC-ATC 2009), pp.350-355
    DOI: 10.1109/UIC-ATC.2009.29
    顯示於類別:[資訊工程學系暨研究所] 會議論文

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