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Analyzing and Measuring Human Joints Movements using a Computer Vision System

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 20
Year of Publication: 2012
Authors:
Ahmad Sedkyadly
M. B. Abdelhalim
Amrbadr
10.5120/7033-9686

Ahmad Sedkyadly, M B Abdelhalim and Amrbadr. Article: Analyzing and Measuring Human Joints Movements using a Computer Vision System. International Journal of Computer Applications 45(20):21-29, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Ahmad Sedkyadly and M. B. Abdelhalim and Amrbadr},
	title = {Article: 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},
	month = {May},
	note = {Full text available}
}

Abstract

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.

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