基于眼电图的有意/无意眼动分类方法及应用综述  

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

作　　者：刘佳镕 王林瑶 吴迎年(综述)[3] 贺庆(审校)[1] LIU Jiarong;WANG Linyao;WU Yingnian;HE Qing(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;School of Automation,Beijing Information Science&Technology University,Beijing 100192,P.R.China)

机构地区：[1]北京信息科技大学仪器科学与光电工程学院,北京100192 [2]湖北工程学院文学与新闻传播学院,湖北孝感432000 [3]北京信息科技大学自动化学院,北京100192

出　　处：《生物医学工程学杂志》2022年第4期833-840,847,共9页Journal of Biomedical Engineering

基　　金：国家自然科学基金资助项目(9011723201);北京市自然科学基金青年基金资助项目(4214080);北京市教委科技计划一般项目(KM201911232019,KM202011232008)。

摘　　要：基于眼电图的眼机交互技术为使用者提供了便捷的设备操控方式,具有重要的社会意义。然而,眼机交互往往会受到无意眼动干扰而出现误判现象,影响用户的使用体验,严重时甚至会引发危险。为此,本文从眼机交互的基本概念与原理出发,梳理当前主流的有意/无意眼动分类方法,并剖析各项技术特点;然后结合具体应用场景展开性能分析,进一步归纳亟待解决的问题,可望为相关领域的科研工作者提供研究参考。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.

关 键 词：眼电图 眼动分类 有意眼动 眼机交互 

分 类 号：TN911.7[电子电信—通信与信息系统] R318[电子电信—信息与通信工程]