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http://dx.doi.org/10.9717/kmms.2012.15.8.1059

Activity Data Modeling and Visualization Method for Human Life Activity Recognition  

Choi, Jung-In (이화여자대학교 컴퓨터공학과)
Yong, Hwan-Seung (이화여자대학교 컴퓨터공학과)
Publication Information
Journal of Korea Multimedia Society / v.15, no.8, 2012 , pp. 1059-1066 More about this Journal
Abstract
With the development of Smartphone, Smartphone contains diverse functions including many sensors that can describe users' state. So there has been increased studies rapidly about activity recognition and life pattern recognition with Smartphone sensors. This research suggest modeling of the activity data to classify extracted data in existing activity recognition study. Activity data is divided into two parts: Physical activity and Logical Activity. In this paper, activity data modeling is theoretical analysis. We classified the basic activity(walking, standing, sitting, lying) as physical activity and the other activities including object, target and place as logical activity. After that we suggested a method of visualizing modeling data for users. Our approach will contribute to generalize human's life by modeling activity data. Also it can contribute to visualize user's activity data for existing activity recognition study.
Keywords
Activity Pattern Mining; Activity Classification; Activity Data Modeling; Visualization; Visual Mining;
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