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Analyzing and Measuring Human Joints Movements using a Computer Vision System

by Ahmad Sedkyadly, M. B. Abdelhalim, Amrbadr
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 45 - Number 20
Year of Publication: 2012
Authors: Ahmad Sedkyadly, M. B. Abdelhalim, Amrbadr
10.5120/7033-9686

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 },
issue_date = { May 2012 },
volume = { 45 },
number = { 20 },
month = { May },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume45/number20/7033-9686/ },
doi = { 10.5120/7033-9686 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:38:28.616814+05:30
%A Ahmad Sedkyadly
%A M. B. Abdelhalim
%A Amrbadr
%T Analyzing and Measuring Human Joints Movements using a Computer Vision System
%J International Journal of Computer Applications
%@ 0975-8887
%V 45
%N 20
%P 21-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
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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Index Terms

Computer Science
Information Sciences

Keywords

Motion Analysis Range Of Motion Joint Motion Joint Movement Disorders Computer Vision

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