關鍵字查詢 | 類別:會議論文 | | 關鍵字:RFID-Based Personalized Behavior Modeling

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序號 學年期 教師動態
1 97/2 資工系 施國琛 教授 會議論文 發佈 RFID-Based Personalized Behavior Modeling , [97-2] :RFID-Based Personalized Behavior Modeling會議論文RFID-Based Personalized Behavior ModelingHsu, Hui-huang; Cheng, Zixue; Shih, Timothy K.; Chen, Chien-chen淡江大學資訊工程學系RFID;ambient intelligence;clustering analysis;elderly care;machine learningIEEE Computer SocietyProceedings of the Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing (UIC-ATC 2009), pp.350-355In 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.Submitted by 輝煌 許 (h_hsu@mail.tku.edu.tw) on 2012-04-16T01:52:33Z No. of bitstreams:
2 97/2 資工系 許輝煌 教授 會議論文 發佈 RFID-Based Personalized Behavior Modeling , [97-2] :RFID-Based Personalized Behavior Modeling會議論文RFID-Based Personalized Behavior ModelingHsu, Hui-huang; Cheng, Zixue; Shih, Timothy K.; Chen, Chien-chen淡江大學資訊工程學系RFID;ambient intelligence;clustering analysis;elderly care;machine learningIEEE Computer SocietyProceedings of the Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing (UIC-ATC 2009), pp.350-355In 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.Submitted by 輝煌 許 (h_hsu@mail.tku.edu.tw) on 2012-04-16T01:52:33Z No. of bitstreams:
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