Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method
This paper presents the elbow flexion and extension rehabilitation exercise system using marker-less Kinect-based method. The proposed exercise system is developed for the upper limb rehabilitation application that utilizes a low cost depth sensor. In this study, the Kinect skeleton tracking method...
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Online Access: | http://umpir.ump.edu.my/id/eprint/18014/1/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method.pdf http://umpir.ump.edu.my/id/eprint/18014/5/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method%201.pdf http://umpir.ump.edu.my/id/eprint/18014/ http://iaescore.com/journals/index.php/IJECE/article/view/7529 |
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my.ump.umpir.180142017-11-16T01:47:14Z http://umpir.ump.edu.my/id/eprint/18014/ Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method Rosdiyana, Samad Muhammad Zabri, Abu Bakar Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah TK Electrical engineering. Electronics Nuclear engineering This paper presents the elbow flexion and extension rehabilitation exercise system using marker-less Kinect-based method. The proposed exercise system is developed for the upper limb rehabilitation application that utilizes a low cost depth sensor. In this study, the Kinect skeleton tracking method is used to detect and track the joints of upper limb and then measure the angle of the elbow joint. The users perform the exercise in front of the Kinect sensor and the computer monitor. At the same time, they can see the results that displayed on the screen in real-time. The measurement of elbow joint angles are recorded automatically and has been compared to the reference values for the analysis and validation. These reference values are obtained from the normal range of motion (ROM) of the elbow. The results show the average flexion angle of the elbow joint that achieved by the normal user is 139.1° for the right hand and 139.2° for the left hand. Meanwhile, the average extension angle is 1.72° for the right hand and 2.0° for the left. These measurements are almost similar to the standard range of motion (ROM) reference values. The skeleton tracking works well and able to follow the movement of the upper arm and forearm in real-time. Institute of Advanced Engineering and Science (IAES) 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18014/1/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18014/5/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method%201.pdf Rosdiyana, Samad and Muhammad Zabri, Abu Bakar and Pebrianti, Dwi and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah (2017) Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method. International Journal of Electrical and Computer Engineering (IJECE), 7 (3). pp. 1602-1610. ISSN 2088-8708 http://iaescore.com/journals/index.php/IJECE/article/view/7529 DOI: 10.11591/ijece.v7i3 |
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TK Electrical engineering. Electronics Nuclear engineering Rosdiyana, Samad Muhammad Zabri, Abu Bakar Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
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This paper presents the elbow flexion and extension rehabilitation exercise system using marker-less Kinect-based method. The proposed exercise system is developed for the upper limb rehabilitation application that utilizes a low cost depth sensor. In this study, the Kinect skeleton tracking method is used to detect and track the joints of upper limb and then measure the angle of the elbow joint. The users perform the exercise in front of the Kinect sensor and the computer monitor. At the same time, they can see the results that displayed on the screen in real-time. The measurement of elbow joint angles are recorded automatically and has been compared to the reference values for the analysis and validation. These reference values are obtained from the normal range of motion (ROM) of the elbow. The results show the average flexion angle of the elbow joint that achieved by the normal user is 139.1° for the right hand and 139.2° for the left hand. Meanwhile, the average extension angle is 1.72° for the right hand and 2.0° for the left. These measurements are almost similar to the standard range of motion (ROM) reference values. The skeleton tracking works well and able to follow the movement of the upper arm and forearm in real-time. |
format |
Article |
author |
Rosdiyana, Samad Muhammad Zabri, Abu Bakar Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah |
author_facet |
Rosdiyana, Samad Muhammad Zabri, Abu Bakar Pebrianti, Dwi Mahfuzah, Mustafa Nor Rul Hasma, Abdullah |
author_sort |
Rosdiyana, Samad |
title |
Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
title_short |
Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
title_full |
Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
title_fullStr |
Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
title_full_unstemmed |
Elbow Flexion and Extension Rehabilitation Exercise System Using Marker-less Kinect-based Method |
title_sort |
elbow flexion and extension rehabilitation exercise system using marker-less kinect-based method |
publisher |
Institute of Advanced Engineering and Science (IAES) |
publishDate |
2017 |
url |
http://umpir.ump.edu.my/id/eprint/18014/1/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method.pdf http://umpir.ump.edu.my/id/eprint/18014/5/Elbow%20Flexion%20and%20Extension%20Rehabilitation%20Exercise%20System%20Using%20Marker-less%20Kinect-based%20Method%201.pdf http://umpir.ump.edu.my/id/eprint/18014/ http://iaescore.com/journals/index.php/IJECE/article/view/7529 |
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13.211869 |