Publication:
Regression model for predicting the maximum load of the movement

dc.contributor.authorKunkanit Yoopooen_US
dc.contributor.authorSupakorn Ongsritakul Benjarat Tirasirichaien_US
dc.contributor.authorWorapan Kusakunniranen_US
dc.contributor.authorMark Robinsonen_US
dc.contributor.otherLiverpool John Moores Universityen_US
dc.contributor.otherMahidol Universityen_US
dc.date.accessioned2019-08-23T10:58:09Z
dc.date.available2019-08-23T10:58:09Z
dc.date.issued2018-01-12en_US
dc.description.abstract© 2017 IEEE. In this paper, the motion information is considered to be essential for calculating the corresponding maximum load of the movement. Due to the high cost of force plates and the challenges on practical scenes, recording the body joints' loading in a direct way is not feasible to do outside the laboratory. Therefore, the main purpose of this paper is to investigate the relationship between the motion pattern and the maximum load, using the regression analysis. In our experiments, the dataset contains 22 subjects. The motion information of each subject is recorded using the 3D motion-capture camera system. The knee's angles, hip's angles, and ankle's angles on sagittal and non-sagittal planes are investigated for predicting the maximum loads. Finally, the proposed method can achieve the average relative error about twelve percent for the prediction.en_US
dc.identifier.citationProceeding of 2017 2nd International Conference on Information Technology, INCIT 2017. Vol.2018-January, (2018), 1-4en_US
dc.identifier.doi10.1109/INCIT.2017.8257859en_US
dc.identifier.other2-s2.0-85049426797en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/45659
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049426797&origin=inwarden_US
dc.subjectComputer Scienceen_US
dc.titleRegression model for predicting the maximum load of the movementen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85049426797&origin=inwarden_US

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