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BioMed Research International
Volume 2016, Article ID 5978489, 9 pages
http://dx.doi.org/10.1155/2016/5978489
Research Article

Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors

1Institute for Biomechanics, ETH Zurich, Vladimir-Prelog-Weg 3, 8093 Zurich, Switzerland
2Seminar for Statistics, ETH Zurich, Rämistrasse 101, 8092 Zurich, Switzerland

Received 6 May 2016; Revised 6 September 2016; Accepted 19 September 2016

Academic Editor: Yudong Cai

Copyright © 2016 Roland Zemp et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Roland Zemp, Matteo Tanadini, Stefan Plüss, et al., “Application of Machine Learning Approaches for Classifying Sitting Posture Based on Force and Acceleration Sensors,” BioMed Research International, vol. 2016, Article ID 5978489, 9 pages, 2016. https://doi.org/10.1155/2016/5978489.