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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Veröffentlicht in:	Medicine and science in sports and exercise Jg. 49; H. 9; S. 1965
Hauptverfasser:	Chowdhury, Alok Kumar, Tjondronegoro, Dian, Chandran, Vinod, Trost, Stewart G
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.09.2017
Schlagworte:	Accelerometry - methods Adolescent Adult Algorithms Exercise - physiology Female Humans Male Wrist
ISSN:	1530-0315, 1530-0315
Online-Zugang:	Weitere Angaben
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