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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| Format: | Conference or Workshop Item |
| Language: | English English |
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IEEE
2017
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| Online Access: | 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 |
| _version_ | 1848820625123049472 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T02:12:25Z |
| format | Conference or Workshop Item |
| id | ump-18238 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T02:12:25Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 (Published) https://ieeexplore.ieee.org/document/7885313/ |
| 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 |
| title | 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |