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Review of Daily Physical Activity Monitoring System Based on Single Triaxial Accelerometer and Portable Data Measurement Unit

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Machine Learning and Systems Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 68))

Abstract

Main objective of this pilot study was to present a method to convenient monitoring of detailed ambulatory movements in daily life, by use of a portable measurement device employing single tri-axial accelerometer. In addition, the purpose of this review article is to provide researchers with a guide to understanding some commonly-used accelerometers in physical activity assessment. Specially, we implemented a small-size wearable data storing system in real time that we used Micro SD-Memory card for convenient and long period habitual physical activity monitoring during daily life. Activity recognition on these features was performed using Fuzzy c means classification algorithm recognized standing, sitting, lying, walking and running with 99.5% accuracy. This study was pilot test for our developed system’s feasibilities. Further application of the present technique may be helpful in the health promotion of both young and elderly.

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Acknowledgments

This study was supported by a grant of the Seoul R&BD Program, Republic of Korea (10526) and the Ministry of Knowledge Economy (MKE) and Korea Industrial Technology Foundation (KOTEF) through the Human Resource Training Project for Strategic Technology.

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Authors and Affiliations

  1. Graduate Programs of Biomedical Engineering, Yonsei University, 262 Seongsanno, Seodaemoon-Ku, Seoul, 120-749, Korea

    Mihee Lee

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  1. Mihee Lee
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  2. Jungchae Kim
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  3. Sun Ha Jee
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  4. Sun Kook Yoo
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Correspondence to Mihee Lee .

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Editors and Affiliations

  1. , Unit 1, 1/F, International Association of Engineers, Hung To Road 37-39, Hong Kong, Hong Kong/PR China

    Sio-Iong Ao

  2. Inst.Computerlinguistik, Abt. Linguistische Datenverarbeitung, Universität Trier, Trier, 54286, Germany

    Burghard Rieger

  3. Dept. Chemical Engineering, California State University, Long Beach, 90840, California, USA

    Mahyar A. Amouzegar

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Lee, M., Kim, J., Jee, S.H., Yoo, S.K. (2010). Review of Daily Physical Activity Monitoring System Based on Single Triaxial Accelerometer and Portable Data Measurement Unit. In: Ao, SI., Rieger, B., Amouzegar, M. (eds) Machine Learning and Systems Engineering. Lecture Notes in Electrical Engineering, vol 68. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9419-3_44

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  • DOI: https://doi.org/10.1007/978-90-481-9419-3_44

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9418-6

  • Online ISBN: 978-90-481-9419-3

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