A review on voluntary or involuntary eye movement classification methods based on electro-oculogram and their applications.
10.7507/1001-5515.202108066
- Author:
Jiarong LIU
1
;
Linyao WANG
2
;
Yingnian WU
3
;
Qing HE
1
Author Information
1. School of Instrument Science and Opto Electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, P. R. China.
2. School of Literature and Journalism, Hubei Engineering University, Xiaogan, Hubei 432000, P. R. China.
3. School of Automation, Beijing Information Science & Technology University, Beijing 100192, P. R. China.
- Publication Type:Review
- Keywords:
Electro-oculogram;
Eye movement classification;
Eye-computer interaction;
Voluntary eye movement
- MeSH:
Computers;
Electrooculography/methods*;
Eye Movements;
Movement
- From:
Journal of Biomedical Engineering
2022;39(4):833-840
- CountryChina
- Language:Chinese
-
Abstract:
The eye-computer interaction technology based on electro-oculogram provides the users with a convenient way to control the device, which has great social significance. However, the eye-computer interaction is often disturbed by the involuntary eye movements, resulting in misjudgment, affecting the users' experience, and even causing danger in severe cases. Therefore, this paper starts from the basic concepts and principles of eye-computer interaction, sorts out the current mainstream classification methods of voluntary/involuntary eye movement, and analyzes the characteristics of each technology. The performance analysis is carried out in combination with specific application scenarios, and the problems to be solved are further summarized, which are expected to provide research references for researchers in related fields.
