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http://dx.doi.org/10.12812/ksms.2012.14.1.087

Personalized Prediction Algorithm of Physical Activity Energy Expenditure through Comparison of Physical Activity  

Kim, Do-Yoon (Fit,Life Inc.)
Jeon, So-Hye (Department of Medical Engineering, Yonsei University)
Pai, Yoon-Hyung (Chung Nam University)
Kim, Nam-Hyun (Department of Medical Engineering, Yonsei University)
Publication Information
Journal of the Korea Safety Management & Science / v.14, no.1, 2012 , pp. 87-93 More about this Journal
Abstract
The purpose of this study suggests a personalized algorithm of physical activity energy expenditure prediction through comparison and analysis of individual physical activity. The research for a 3-axial accelerometer sensor has increased the role of physical activity in promoting health and preventing chronic disease has long been established. Estimating algorithm of physical activity energy expenditure was implemented by using a tri-axial accelerometer motion detector of the SVM(Signal Vector Magnitude) of 3-axis(x, y, z). A total of 10 participants(5 males and 5 females aged between 20 and 30 years). The activities protocol consisted of three types on treadmill; participants performed three treadmill activity at three speeds(3, 5, 8 km/h). These activities were repeated four weeks.
Keywords
Physical Activity; Prediction Algorithm; Personalized; Energy Expenditure; Intensity;
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