Development of a computer vision-based technique for analysis of hand therapy exercise

Hand therapy exercises based on computer vision system have many benefits and this has attracted the interest of researchers towards building a computer vision application. The innovation of measurement tool in computer vision application for the exercise also have undergone continuously improvement...

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Bibliographic Details
Main Author:	Muhammad Zabri, Abu Bakar
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/26115/ http://umpir.ump.edu.my/id/eprint/26115/ http://umpir.ump.edu.my/id/eprint/26115/1/Development%20of%20a%20computer%20vision-based%20technique%20for%20analysis.pdf

id	ump-26115
recordtype	eprints
spelling	ump-261152019-10-18T03:44:41Z http://umpir.ump.edu.my/id/eprint/26115/ Development of a computer vision-based technique for analysis of hand therapy exercise Muhammad Zabri, Abu Bakar QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Hand therapy exercises based on computer vision system have many benefits and this has attracted the interest of researchers towards building a computer vision application. The innovation of measurement tool in computer vision application for the exercise also have undergone continuously improvement which is using wearable sensor, robot aid and computer vision. The hand therapy exercise system that was built using computer vision method involved highly flexible structure of the human body and causes a self-occlusion. Another problem is tracking techniques using an ordinary camera are not easy and require extensive time to develop. The aim of this research is to develop a computer vision-based technique for analysis of hand therapy exercise and to evaluate the propose angle measurement with the conventional measurement tool, which is goniometer. In this thesis a Range of Motion (ROM) exercises for wrist and elbow by using the Kinect sensor is presented and this exercise provides a real-time feedback for every movement. Both exercises, which are wrist radial/ulnar deviation and elbow flexion/extension also consists of joint angle measurement. For this purpose, the ROM exercise was developed by using the hand detection and tracking, fingertips detection, skeleton joints detection algorithms and joint angle measurement algorithm. Then, the joint angle values can be saved automatically. The result for the measurement of wrist radial/ulnar deviation angle shows its value is different from the reference angle of ±6°. Meanwhile, the result for the measurement of elbow flexion/extension joint angle was different at ±8° from the reference angle. These measurement values are almost similar to the standard ROM reference values which are 20° for radial deviation, -30° for ulnar deviation, 140° for flexion and 0° for extension. The algorithm worked well and could follow the movement of the upper arm and forearm in real-time. This exercise system that uses Kinect sensor is able to be a portable exercise tool, which is easy to install and to be placed anywhere. The joint angle measurement data can be saved and can be used for reference in the future. The validation with the conventional tool for angle measurement (goniometer) shows that the joint angle measurement with the proposed technique is more precise compared to the goniometer because it can measure the small scale of angle in degree. 2018-05 Thesis NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26115/1/Development%20of%20a%20computer%20vision-based%20technique%20for%20analysis.pdf Muhammad Zabri, Abu Bakar (2018) Development of a computer vision-based technique for analysis of hand therapy exercise. Masters thesis, Universiti Malaysia Pahang. https://efind.ump.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=7936
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Muhammad Zabri, Abu Bakar Development of a computer vision-based technique for analysis of hand therapy exercise
description	Hand therapy exercises based on computer vision system have many benefits and this has attracted the interest of researchers towards building a computer vision application. The innovation of measurement tool in computer vision application for the exercise also have undergone continuously improvement which is using wearable sensor, robot aid and computer vision. The hand therapy exercise system that was built using computer vision method involved highly flexible structure of the human body and causes a self-occlusion. Another problem is tracking techniques using an ordinary camera are not easy and require extensive time to develop. The aim of this research is to develop a computer vision-based technique for analysis of hand therapy exercise and to evaluate the propose angle measurement with the conventional measurement tool, which is goniometer. In this thesis a Range of Motion (ROM) exercises for wrist and elbow by using the Kinect sensor is presented and this exercise provides a real-time feedback for every movement. Both exercises, which are wrist radial/ulnar deviation and elbow flexion/extension also consists of joint angle measurement. For this purpose, the ROM exercise was developed by using the hand detection and tracking, fingertips detection, skeleton joints detection algorithms and joint angle measurement algorithm. Then, the joint angle values can be saved automatically. The result for the measurement of wrist radial/ulnar deviation angle shows its value is different from the reference angle of ±6°. Meanwhile, the result for the measurement of elbow flexion/extension joint angle was different at ±8° from the reference angle. These measurement values are almost similar to the standard ROM reference values which are 20° for radial deviation, -30° for ulnar deviation, 140° for flexion and 0° for extension. The algorithm worked well and could follow the movement of the upper arm and forearm in real-time. This exercise system that uses Kinect sensor is able to be a portable exercise tool, which is easy to install and to be placed anywhere. The joint angle measurement data can be saved and can be used for reference in the future. The validation with the conventional tool for angle measurement (goniometer) shows that the joint angle measurement with the proposed technique is more precise compared to the goniometer because it can measure the small scale of angle in degree.
format	Thesis
author	Muhammad Zabri, Abu Bakar
author_facet	Muhammad Zabri, Abu Bakar
author_sort	Muhammad Zabri, Abu Bakar
title	Development of a computer vision-based technique for analysis of hand therapy exercise
title_short	Development of a computer vision-based technique for analysis of hand therapy exercise
title_full	Development of a computer vision-based technique for analysis of hand therapy exercise
title_fullStr	Development of a computer vision-based technique for analysis of hand therapy exercise
title_full_unstemmed	Development of a computer vision-based technique for analysis of hand therapy exercise
title_sort	development of a computer vision-based technique for analysis of hand therapy exercise
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/26115/ http://umpir.ump.edu.my/id/eprint/26115/ http://umpir.ump.edu.my/id/eprint/26115/1/Development%20of%20a%20computer%20vision-based%20technique%20for%20analysis.pdf
first_indexed	2023-09-18T22:40:28Z
last_indexed	2023-09-18T22:40:28Z
_version_	1777416880756097024

Development of a computer vision-based technique for analysis of hand therapy exercise

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