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Decision of Daily Activities Associated with Sleeping based on Individual Behavioral Characteristics  

Cho, Seung-Ho (강남대학교 컴퓨터미디어공학부)
Son, Seon-Dong (강남대학교 컴퓨터미디어공학부)
Kim, Jin-Tae (강남대학교 컴퓨터미디어공학부)
Moon, Bong-Hee (숙명여자대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.12, 2010 , pp. 1214-1218 More about this Journal
Abstract
As a study on activities associated with sleeping, this paper is aimed to trace a behavior log by differentiating human behavior patterns. Toward this research purpose, we define a behavior log and a simplified feature vector about human behavior patterns associated with sleeping. Then, based on thresholds of the feature vector, we did experiments applying the individual-base behavior pattern decision algorithm to human behavior patterns. The important results derived from these experiments indicate that the proposed approach reflecting individual behavioral characteristics is more useful than the existing single group approach.
Keywords
sleeping; individual behavioral pattern; feature vector; wireless sensor;
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Times Cited By KSCI : 1  (Citation Analysis)
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