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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Bibliographic Details
Main Authors: Azrul Amri, Jamal, Engku Fadzli Hasan, Syed Abdullah, Wan Mohd Rizhan, Wan Idris, Fathurrahman, Lananan, Nor Farahana, Zainul Hisham
Format: Conference or Workshop Item
Language:English
Published: 2017
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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
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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.