Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions

Volume: 12, Issue: 9, Pages: e0184216 - e0184216
Published: Sep 7, 2017
Abstract
Background Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. The aims of this study are: to develop an algorithm for automatic identification of intended jogging periods; and to assess whether the identification performance is improved when using two accelerometers...
Paper Details
Title
Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions
Published Date
Sep 7, 2017
Journal
Volume
12
Issue
9
Pages
e0184216 - e0184216
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