Development of Visual-based Rehabilitation Using Sensors for Stroke Patient

Citation

Sim, Kok Swee and Toa, Chean Khim and Lim, Choon Chen (2020) Development of Visual-based Rehabilitation Using Sensors for Stroke Patient. International Journal on Robotics, Automation and Sciences, 2 (1). pp. 25-30. ISSN 2682-860X

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Abstract

This project concerns on the development of applications using sensors for the rehabilitation of stroke patients. Thus, the leap motion sensor is employed for the finger motor rehabilitation training while the Microsoft Kinect sensor is utilized for the upper limb motor rehabilitation. Two applications which are named ‘Pick and Place’ and ‘Stone Breaker’ are developed. For the first application, the patient is required to pick up the virtual blocks and stack it up. The ‘Stone Breaker’ game requires the patient to move the upper limb in controlling the paddle movement in the game. At the end of the project, it is able to achieve the dominant objective of the project when the tested patient shows significant improvement in both the application.

Item Type: Article
Uncontrolled Keywords: Motion detectors, Stroke, Visual-based Rehabilitation, Kinect, Leap Motion Sensor
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 27 Jul 2021 02:38
Last Modified: 27 Jul 2021 02:38
URII: http://shdl.mmu.edu.my/id/eprint/8095

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