M. Zabri, Abu Bakar and Rosdiyana, Samad and Pebrianti, Dwi and Mahfuzah, Mustafa and Nor Rul Hasma, Abdullah (2015) Computer Vision-Based Hand Deviation Exercise for Rehabilitation. In: International Conference on Control Systems, Computing and Engineering , 27-29 November 2015 , Penang. pp. 1-6.. (Unpublished)
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Abstract
Computerized monitoring of the home based rehabilitation exercise has many benefits and it has attracted considerable interest among the computer vision community. Nowadays, many rehabilitation systems are proposed and many of them is targeted disability is for stroke patient. Some of patient or user just wants to take certain part for rehabilitation, this paper is focus on hand rehabilitation system. The importance of the rehabilitation system is to implement the specific exercise for the specific requirements of the patients that needs rehabilitation therapy. This paper presents the specific hand rehabilitation system using computer vision method. The specific hand rehabilitation that is implemented in this system is a hand deviation exercise and this exercise is benefited to improve the mobility of the hand and reduce the pain. The hand tracking and finger detection method are used in this hand rehabilitation system. The result of the exercise can be used as a training data for the analysis of the injured hand recovery and healing process.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Uncontrolled Keywords: | rehabilitation, hand tracking, depth image, Kinect sensor. |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 02 Dec 2015 06:11 |
| Last Modified: | 11 Apr 2018 01:39 |
| URI: | http://umpir.ump.edu.my/id/eprint/11551 |
| Download Statistic: | View Download Statistics |
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