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Classification of Behavioral Patterns Associated with Sleeping in Residential Space  

Cho, Seung-Ho (강남대학교 컴퓨터미디어정보공학부)
Kim, Woo-Yeol (강남대학교 컴퓨터미디어정보공학부)
Moon, Bong-Hee (숙명여자대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.4, 2010 , pp. 477-481 More about this Journal
Abstract
In this paper, we try to classify behavior patterns of a person around a bed based on a wireless sensor network system. We define five behavioral patterns and three states of a person around a bed which is described by a state machine. We collected data sensed by motion detection and vibration sensors installed around a bed from which a feature vector was extracted. Based on feature vector corresponding to behavioral patterns and the state machine, we established a model for behavioral patterns. To validate the model, experiments on subjects were performed and the model was fixed. These experimental results revealed that behavior patterns of a person around a bed can be classified well.
Keywords
classification of behavioral pattern; feature vector; vibration/motion detection sensor;
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