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

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

Occupational musculoskeletal disorders, particularly chronic low back pain (LBP), are ubiquitous due to prolonged static sitting or nonergonomic sitting positions. Therefore, the aim of this study was to develop an instrumented chair with force and acceleration sensors to determine the accuracy of a...

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Bibliographic Details
Main Authors: Roland Zemp, Matteo Tanadini, Stefan Plüss, Karin Schnüriger, Navrag B. Singh, William R. Taylor, Silvio Lorenzetti
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2016/5978489

Internet

http://dx.doi.org/10.1155/2016/5978489

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