International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 45 - Issue 20 |
Published: May 2012 |
Authors: Ahmad Sedkyadly, M. B. Abdelhalim, Amrbadr |
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Ahmad Sedkyadly, M. B. Abdelhalim, Amrbadr . Analyzing and Measuring Human Joints Movements using a Computer Vision System. International Journal of Computer Applications. 45, 20 (May 2012), 21-29. DOI=10.5120/7033-9686
@article{ 10.5120/7033-9686, author = { Ahmad Sedkyadly,M. B. Abdelhalim,Amrbadr }, title = { Analyzing and Measuring Human Joints Movements using a Computer Vision System }, journal = { International Journal of Computer Applications }, year = { 2012 }, volume = { 45 }, number = { 20 }, pages = { 21-29 }, doi = { 10.5120/7033-9686 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2012 %A Ahmad Sedkyadly %A M. B. Abdelhalim %A Amrbadr %T Analyzing and Measuring Human Joints Movements using a Computer Vision System%T %J International Journal of Computer Applications %V 45 %N 20 %P 21-29 %R 10.5120/7033-9686 %I Foundation of Computer Science (FCS), NY, USA
Range and patterns of movement estimation is a crucial concern for clinicians in the diagnostic and functional assessment of patients with musculoskeletal disorder. To obtain a record of the degree of permanent impairment of an individual, Range-Of-Motion (ROM) measures are used. Currently, clinicians use all or any of numerous assessment instruments, a universal goniometer, an inclinometer or a tape measure to make these estimations. However, such tools appear to have major drawbacks in measuring ROM. Markerless vision-based human motion analysis can provide an inexpensive, non-obtrusive solution for range of joint motion measurement. This paper outlines the problem of measuring human joints movements using a computer vision system that supports the physiotherapist as a diagnosis tool to aid rehabilitation of joint movement disorders and its treatment plan.