Journal of Sensor Science and Technology (센서학회지)

The Korean Sensors Society (한국센서학회)
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Decision method for rule-based physical activity status using rough sets

러프집합을 이용한 규칙기반 신체활동상태 결정방법

  • 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)
  • 이영동 (계명대학교 생체정보기술개발사업단) ;
  • 손창식 (계명대학교 생체정보기술개발사업단) ;
  • 정완영 (부경대학교 전자컴퓨터정보통신공학부) ;
  • 박희준 (계명대학교 의과대학 의료정보학교실) ;
  • 김윤년 (계명대학교 의과대학 의료정보학교실)
  • Published : 2009.11.30
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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

References

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