Ensemble Methods for Classification of Physical Activities from Wrist Accelerometry

To investigate whether the use of ensemble learning algorithms improve physical activity recognition accuracy compared to the single classifier algorithms, and to compare the classification accuracy achieved by three conventional ensemble machine learning methods (bagging, boosting, random forest) a...

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Bibliographic Details

Published in:	Medicine and science in sports and exercise Vol. 49; no. 9; p. 1965
Main Authors:	Chowdhury, Alok Kumar, Tjondronegoro, Dian, Chandran, Vinod, Trost, Stewart G
Format:	Journal Article
Language:	English
Published:	United States 01.09.2017
Subjects:	Accelerometry - methods Adolescent Adult Algorithms Exercise - physiology Female Humans Male Wrist
ISSN:	1530-0315, 1530-0315
Online Access:	Get more information
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