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[基于眼电图的自主或非自主眼动分类方法综述及其应用]

[A review on voluntary or involuntary eye movement classification methods based on electro-oculogram and their applications].

作者信息

Liu Jiarong, Wang Linyao, Wu Yingnian, He Qing

机构信息

School of Instrument Science and Opto Electronics Engineering, Beijing Information Science & Technology University, Beijing 100192, P. R. China.

School of Literature and Journalism, Hubei Engineering University, Xiaogan, Hubei 432000, P. R. China.

出版信息

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2022 Aug 25;39(4):833-840. doi: 10.7507/1001-5515.202108066.

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.

摘要

基于眼电图的眼-计算机交互技术为用户提供了一种便捷的设备控制方式,具有重大的社会意义。然而,眼-计算机交互常常受到非自主眼球运动的干扰,导致误判,影响用户体验,严重时甚至会造成危险。因此,本文从眼-计算机交互的基本概念和原理出发,梳理了当前主流的自主/非自主眼球运动分类方法,并分析了每种技术的特点。结合具体应用场景进行性能分析,进一步总结了有待解决的问题,以期为相关领域的研究人员提供研究参考。

相似文献

3
The eye blink electro-oculogram.眨眼电图。
Br J Ophthalmol. 1984 Apr;68(4):225-8. doi: 10.1136/bjo.68.4.225.
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Eye movement recordings: methods.眼动记录:方法
Dev Ophthalmol. 2007;40:15-34. doi: 10.1159/000100347.
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On-line electro-oculography.在线眼电图描记法
Int J Biomed Comput. 1978 Sep;9(5):393-404. doi: 10.1016/0020-7101(78)90045-4.

本文引用的文献

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[Bacomics--a new discipline integrating brain and the outside].[脑外整合学——一门融合大脑与外界的新学科]
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2021 Jun 25;38(3):507-511. doi: 10.7507/1001-5515.202101039.
4
An Asynchronous Hybrid Spelling Approach Based on EEG-EOG Signals for Chinese Character Input.基于脑电-眼电信号的异步混合汉字拼写方法。
IEEE Trans Neural Syst Rehabil Eng. 2019 Jun;27(6):1292-1302. doi: 10.1109/TNSRE.2019.2914916. Epub 2019 May 7.

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