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dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorKu Nor Syamimi, Ku Ismail
dc.contributor.authorMurugappan, Muthusamy, Dr.
dc.contributor.authorShafriza Nisha, Basah, Dr.
dc.date.accessioned2012-10-15T04:37:39Z
dc.date.available2012-10-15T04:37:39Z
dc.date.issued2012-02-27
dc.identifier.citationp. 280-285en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179021
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21358
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractHuman motion analysis via computer vision is an important aspect in a wide range of application; ranging from human-computer interaction (HCI) to ergonomics and biomechanics. This paper presents an overview of all processes involved in human motion analysis using computer vision-namely experimental protocol, data acquisition, data analysis and modeling. The posture adopted by the body during lifting task is thought to have a profound impact on low back. Otherwise, alteration of muscle pattern and biomechanical loads may show significant effects on human posture. The focus is on human posture modeling using motion analysis for lifting task will be investigated.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectHuman motion analysisen_US
dc.subjectHuman postureen_US
dc.subjectModel developmenten_US
dc.subjectLifting tasken_US
dc.titleHuman postures modeling using motion analysis: A reviewen_US
dc.typeWorking Paperen_US
dc.contributor.urlknsyamimi86@yahoo.comen_US


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