Title :
RFID-Based Personalized Behavior Modeling
Author :
Hsu, Hui-Huang ; Cheng, Zixue ; Shih, Timothy K. ; Chen, Chien-Chen
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Taipei, Taiwan
Abstract :
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.
Keywords :
geriatrics; learning (artificial intelligence); pattern clustering; radiofrequency identification; RFID-based personalized behavior modeling; clustering technique; data collection; intelligent system; system architecture; Batteries; Computer science; Conferences; Machine learning; Privacy; RFID tags; Radiofrequency identification; Senior citizens; Support vector machine classification; Support vector machines; RFID; ambient intelligence; clustering analysis; elderly care; machine learning;
Conference_Titel :
Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4244-4902-6
Electronic_ISBN :
978-0-7695-3737-5
DOI :
10.1109/UIC-ATC.2009.29
