Eye-tracking assistive technologies for individuals with amyotrophic lateral sclerosis

Edughele, Hilary O., Zhang, Yinghui, Muhammad-Sukki, Firdaus, Vien, Quoc-Tuan ORCID logoORCID: https://orcid.org/0000-0001-5490-904X, Morris-Cafiero, Haley and Agyeman, Michael Opoku (2022) Eye-tracking assistive technologies for individuals with amyotrophic lateral sclerosis. IEEE Access, 10 . pp. 41952-41972. ISSN 2169-3536 [Article] (doi:10.1109/ACCESS.2022.3164075)

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Abstract

Amyotrophic lateral sclerosis, also known as ALS, is a progressive nervous system disorder that affects nerve cells in the brain and spinal cord, resulting in the loss of muscle control. For individuals with ALS, where mobility is limited to the movement of the eyes, the use of eye-tracking-based applications can be applied to achieve some basic tasks with certain digital interfaces. This paper presents a review of existing eye-tracking software and hardware through which eye-tracking their application is sketched as an assistive technology to cope with ALS. Eye-tracking also provides a suitable alternative as control of game elements. Furthermore, artificial intelligence has been utilized to improve eye-tracking technology with significant improvement in calibration and accuracy. Gaps in literature are highlighted in the study to offer a direction for future research.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 34939
Notes on copyright: This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
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Depositing User: Quoc-Tuan Vien
Date Deposited: 04 Apr 2022 10:07
Last Modified: 24 Jun 2022 03:28
URI: https://eprints.mdx.ac.uk/id/eprint/34939

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