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http://dx.doi.org/10.5369/JSST.2009.18.6.432

Decision method for rule-based physical activity status using rough sets  

Lee, Young-Dong (Biomedical Information Technology Center, Keimyung University)
Son, Chang-Sik (Biomedical Information Technology Center, Keimyung University)
Chung, Wan-Young (Div. of Electronics, Computer and Telecommunication Engineering, Pukyong National University)
Park, Hee-Joon (Dept. of Medical Informatics, School of Medicine, Keimyung University)
Kim, Yoon-Nyun (Dept. of Medical Informatics, School of Medicine, Keimyung University)
Publication Information
Journal of Sensor Science and Technology / v.18, no.6, 2009 , pp. 432-440 More about this Journal
Abstract
This paper presents an accelerometer based system for physical activity decision that are capable of recognizing three different types of physical activities, i.e., standing, walking and running, using by rough sets. To collect physical acceleration data, we developed the body sensor node which consists of two custom boards for physical activity monitoring applications, a wireless sensor node and an accelerometer sensor module. The physical activity decision is based on the acceleration data collected from body sensor node attached on the user's chest. We proposed a method to classify physical activities using rough sets which can be generated rules as attributes of the preprocessed data and by constructing a new decision table, rules reduction. Our experimental results have successfully validated that performance of the rule patterns after removing the redundant attribute values are better and exactly same compare with before.
Keywords
physical activity; rough sets; tri-axial accelerometer; wireless sensor network; body sensor node;
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Times Cited By KSCI : 3  (Citation Analysis)
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