Volume 10 Number 2(Jun. 2018)
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IJCEE 2018 Vol.10(2): 106-115 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2018.10.2.106-115

A Study towards Interface of Intelligent Wheelchair with the Eyeball Tracking Mechanism

Muhammad Waris, Shafaq Ejaz, Syed Kashif Hussain, Anila Kousar
Abstract—Any sort of physical disorder creates mobility difficulty especially impossible for patients with lower limb paralysis making them highly dependent on fellow human beings. To assist such patients a robotic wheelchair synchronized with eyeball motion has been developed where patients’ own body part is used to help in movement. This paper devises visual research experiments to innovate the viability of an eye ball driven robotic wheelchair. It investigates the Eye-ball IR sensing and Shoulder Pressure sensing behavior linked with physical movement of patients. There are three ideas in this study. First, the correlation between Eye ball sensor behavior and the hardware model to start and stop the wheelchair. Second, shoulder pressure sensing mechanism to turn the wheelchair left and/or right. Third, Ultrasonic sensing to sense and avoid the obstacles in the path to helping free and safe movement. Experiments on different age groups show quick response at ages less than 20 for both normal and paralyzed patients with 40 and 33mV and with the ages above 45 this value reduced to 28 and 16mV respectively.

Index Terms—Eyeball control, IR sensing, shoulder control, ultrasonic sensing, wheelchair automation.

Muhammad Waris is with Department of Electrical Engineering, Mirpur University of Science and Technology (MUST), Mirpur 10250 (AJK), Pakistan. Shafaq Ejaz and Anila Kousar are with Department of Electrical (Power) Engineering, Mirpur University of Science and Technology (MUST), Mirpur 10250 (AJK), Pakistan. Syed Kashif Hussain is with Department of Mechanical Engineering, Mirpur University of Science and Technology (MUST), Mirpur 10250 (AJK), Pakistan.

Cite:Muhammad Waris, Shafaq Ejaz, Syed Kashif Hussain, Anila Kousar, "A Study towards Interface of Intelligent Wheelchair with the Eyeball Tracking Mechanism," International Journal of Computer and Electrical Engineering vol. 10, no. 2, pp. 106-115, 2018.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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