NDLI: Fuzzy inference based non-daily behavior pattern detection for elderly people monitoring system

Content Provider	IEEE Xplore Digital Library
Author	Seki, H.
Copyright Year	2009
Description	Author affiliation: Department of Electrical, Electronics and Computer Engineering, Chiba Institute of Technology, Chiba, 275-0016, Japan (Seki, H.)
Abstract	This paper describes an abnormal behavior detection system based on an omni-directional vision sensor as one of the important elements in realizing ”Sensing and Robotic Support Room” for elderly people. Such support rooms are expected to be further developed in the future with the high performance to automatically recognize elderly people’s actions and behavior patterns and detect the unusual patterns using some sensors and to support their daily motions using some robotic manipulator control systems. The proposed monitoring system using an omni-directional vision sensor automatically learns the daily behavior patterns and detects the unusual behavior patterns and actions using fuzzy inference approach. The fuzzy rules are constructed using image feature values such as the area and center-of gravity values extracted from the captured image sequence and their patterns appearance frequency. Unusual behavior patterns can be automatically detected based on the possibility distribution inference method. Some experiments based on the investigation of elderly people’s typical daily behavior patterns show the effectiveness of the proposed system.
Starting Page	6187
Ending Page	6192
File Size	754468
Page Count	6
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334614
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Senior citizens Monitoring Sensor systems Robot sensing systems Robotics and automation Sensor phenomena and characterization Robot vision systems Pattern recognition Motion detection
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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