Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises

The exercise and rehabilitation based on computer vision system have many benefits and it has attracted the interest of researchers in the computer vision community. The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing...

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Main Authors:	M. Zabri, Abu Bakar, Rosdiyana, Samad, Pebrianti, Dwi, Mahfuzah, Mustafa, Nor Rul Hasma, Abdullah
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/18238/ http://umpir.ump.edu.my/id/eprint/18238/ http://umpir.ump.edu.my/id/eprint/18238/1/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises.pdf http://umpir.ump.edu.my/id/eprint/18238/2/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises%201.pdf

id	ump-18238
recordtype	eprints
spelling	ump-182382018-07-19T02:49:06Z http://umpir.ump.edu.my/id/eprint/18238/ Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises M. Zabri, Abu Bakar Rosdiyana, Samad Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah TK Electrical engineering. Electronics Nuclear engineering The exercise and rehabilitation based on computer vision system have many benefits and it has attracted the interest of researchers in the computer vision community. The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. This paper presents the experiment and analysis of wrist radial and ulnar deviation exercises system based on computer vision method. These exercises are a part of the upper limb exercise for the rehabilitation program. The wrist radial and ulnar deviation exercises are benefited to improve the mobility of the hand and to reduce the pain. The hand tracking, center of palm detection and fingertips detection and Kinect sensor are used in this exercise system. This system guides the user to perform the radial and ulnar deviation movements through the user's display window. The deviation angle of each movement is measured and recorded automatically. The experimental result shows that the average deviation angle for five users in wrist radial and ulnar deviation experiment is 23.4° for the radial motion and 35.8° for the ulnar motion. These measurements are almost similar to the reference value of range of motion (ROM) standard. IEEE 2017-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/18238/1/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises.pdf pdf en http://umpir.ump.edu.my/id/eprint/18238/2/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises%201.pdf M. Zabri, Abu Bakar and Rosdiyana, Samad and Pebrianti, Dwi and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah (2017) Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises. In: IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS 2016), 22 October 2016 , UniversIti Teknologi Mara Shah Alam, Malaysia. pp. 190-195.. ISBN 978-1-5090-4186-2 https://ieeexplore.ieee.org/document/7885313/
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering M. Zabri, Abu Bakar Rosdiyana, Samad Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
description	The exercise and rehabilitation based on computer vision system have many benefits and it has attracted the interest of researchers in the computer vision community. The researchers have kept on improving the existing methods by creating novel method or developing new algorithms in image processing and artificial intelligence. This paper presents the experiment and analysis of wrist radial and ulnar deviation exercises system based on computer vision method. These exercises are a part of the upper limb exercise for the rehabilitation program. The wrist radial and ulnar deviation exercises are benefited to improve the mobility of the hand and to reduce the pain. The hand tracking, center of palm detection and fingertips detection and Kinect sensor are used in this exercise system. This system guides the user to perform the radial and ulnar deviation movements through the user's display window. The deviation angle of each movement is measured and recorded automatically. The experimental result shows that the average deviation angle for five users in wrist radial and ulnar deviation experiment is 23.4° for the radial motion and 35.8° for the ulnar motion. These measurements are almost similar to the reference value of range of motion (ROM) standard.
format	Conference or Workshop Item
author	M. Zabri, Abu Bakar Rosdiyana, Samad Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah
author_facet	M. Zabri, Abu Bakar Rosdiyana, Samad Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah
author_sort	M. Zabri, Abu Bakar
title	Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
title_short	Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
title_full	Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
title_fullStr	Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
title_full_unstemmed	Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
title_sort	experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises
publisher	IEEE
publishDate	2017
url	http://umpir.ump.edu.my/id/eprint/18238/ http://umpir.ump.edu.my/id/eprint/18238/ http://umpir.ump.edu.my/id/eprint/18238/1/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises.pdf http://umpir.ump.edu.my/id/eprint/18238/2/Experiment%20and%20Analysis%20of%20Computer%20Vision-Based%20Wrist%20Radial%20and%20Ulnar%20Deviation%20Exercises%201.pdf
first_indexed	2023-09-18T22:25:44Z
last_indexed	2023-09-18T22:25:44Z
_version_	1777415953079861248

Experiment and analysis of computer vision-based wrist radial and ulnar deviation exercises

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