Eye-Tracking Assistive Technologies for Individuals With Amyotrophic Lateral Sclerosis

被引:21
作者
Edughele, Hilary O. [1 ]
Zhang, Yinghui [1 ]
Muhammad-Sukki, Firdaus [2 ]
Vien, Quoc-Tuan [3 ]
Morris-Cafiero, Haley [1 ]
Opoku Agyeman, Michael [1 ]
机构
[1] Univ Northampton, Fac Arts Sci & Technol FAST, Ctr Adv & Smart Technol CAST, Northampton NN1 5PH, England
[2] Edinburgh Napier Univ, Sch Engn & Built Environm, Edinburgh EH14 1DJ, Midlothian, Scotland
[3] Middlesex Univ, Fac Sci & Technol, London NW4 4BT, England
关键词
Pupils; Electrooculography; Tracking; Monitoring; Costs; Cornea; Assistive technologies; Amyotrophic lateral sclerosis; artificial intelligence; assistive technology; eye-tracking; SCLERAL SEARCH COIL; CLASSIFICATION; MODEL; ATTENTION; DISORDER; CHILDREN; FEATURES; DISEASE; SYSTEM; AAC;
D O I
10.1109/ACCESS.2022.3164075
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:41938 / 41958
页数:21
相关论文
共 152 条
[61]  
Inoue A., 2016, PROC INT C ADV MAT S, P15
[62]  
Johansen S.A., 2011, CHI '11 Extended Abstracts on Human Factors in Computing Systems, CHI EA '11, ACM, P1177, DOI [DOI 10.1145/1979742.1979744, 10.1145/1979742.1979744]
[63]   Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state [J].
Kaethner, Ivo ;
Kuebler, Andrea ;
Halder, Sebastian .
JOURNAL OF NEUROENGINEERING AND REHABILITATION, 2015, 12
[64]  
Kaufmann B. C., 2021, FRONTIERS NEUROSCI, V15, P269
[65]  
Keller J., AMYOTROPHIC
[66]  
Khachatryan H., 2014, ELECT DATA INF SOURC, P1, DOI DOI 10.32473/EDIS-FE947-2014
[67]   A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning [J].
Khosravan, Naji ;
Celik, Haydar ;
Turkbey, Baris ;
Jones, Elizabeth C. ;
Wood, Bradford ;
Bagci, Ulas .
MEDICAL IMAGE ANALYSIS, 2019, 51 :101-115
[68]   Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm [J].
Khushaba, Rami N. ;
Kodagoda, Sarath ;
Lal, Sara ;
Dissanayake, Gamini .
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2011, 58 (01) :121-131
[69]   Tracking the eye non-invasively: simultaneous comparison of the scleral search coil and optical tracking techniques in the macaque monkey [J].
Kimmel, Daniel L. ;
Mammo, Dagem ;
Newsome, William T. .
FRONTIERS IN BEHAVIORAL NEUROSCIENCE, 2012, 6
[70]   Comparison of SSVEP BCI and Eye Tracking for Controlling a Humanoid Robot in a Social Environment [J].
Kishore, Sameer ;
Gonzalez-Franco, Mar ;
Hintemueller, Christoph ;
Kapeller, Christoph ;
Guger, Christoph ;
Slater, Mel ;
Blom, Kristopher J. .
PRESENCE-TELEOPERATORS AND VIRTUAL ENVIRONMENTS, 2014, 23 (03) :242-252