Innovative Methodology An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer
نویسندگان
چکیده
John Staudenmayer, David Pober, Scott Crouter, David Bassett, and Patty Freedson Department of Mathematics and Statistics, University of Massachusetts, Amherst, Massachusetts; Department of Exercise Science, Lyndon State College, Lyndonville, Vermont; Department of Exercise and Health Sciences, University of Massachusetts, Boston, Massachusetts; Department of Exercise, Sport and Leisure Studies, University of Tennessee, Knoxville, Tennessee; and Department of Kinesiology, University of Massachusetts, Amherst, Massachusetts
منابع مشابه
An artificial neural network to estimate physical activity energy expenditure and identify physical activity type from an accelerometer.
The aim of this investigation was to develop and test two artificial neural networks (ANN) to apply to physical activity data collected with a commonly used uniaxial accelerometer. The first ANN model estimated physical activity metabolic equivalents (METs), and the second ANN identified activity type. Subjects (n = 24 men and 24 women, mean age = 35 yr) completed a menu of activities that incl...
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تاریخ انتشار 2009