Lower Limb Walking Gait Profiling using Marker-Less Motion Capture to Assist Physiotherapy Treatment
Physiotherapy involves specialised therapist conducting mechanical force and movement onto human body in order to heal and avoid further physical injuries. Therapists rely on subjective estimation in order to measure the performance improvements after physiotherapy treatments. An automated method...
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Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
2017
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Subjects: | |
Online Access: | http://eprints.unisza.edu.my/1470/1/FH03-FIK-17-10498.pdf http://eprints.unisza.edu.my/1470/ |
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Institution: | Universiti Sultan Zainal Abidin |
Language: | English |
Summary: | Physiotherapy involves specialised therapist conducting mechanical force and movement onto human
body in order to heal and avoid further physical injuries. Therapists rely on subjective estimation in
order to measure the performance improvements after physiotherapy treatments. An automated method
to analyse and measure improvement is needed to calculate improvements based on patients' walking
gait. This method would require a gait profile database in order to be able to calculate patients'
improvement after physiotherapy treatments. The aims of this research are to develop a framework for
walking gait profiling using marker-less motion capture and assist physiotherapy evaluation by
comparing walking gait to the profile that has been generated. The proposed system consists of four
major phases which are: motion capturing; motion profiling; normal gait averaging; and gait profile
comparison. The framework that has been developed in this research is shown and discussed in detail
in this paper. |
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