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- W2131801795 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." @default.
- W2131801795 created "2016-06-24" @default.
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- W2131801795 date "2012-08-31" @default.
- W2131801795 modified "2023-09-25" @default.
- W2131801795 title "Activity Data Modeling and Visualization Method for Human Life Activity Recognition" @default.
- W2131801795 cites W2151530263 @default.
- W2131801795 doi "https://doi.org/10.9717/kmms.2012.15.8.1059" @default.
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