ISSN 1671-3710
CN 11-4766/R
主办：中国科学院心理研究所
出版：科学出版社

心理科学进展 ›› 2017, Vol. 25 ›› Issue (1): 29-36.doi: 10.3724/SP.J.1042.2017.00029

• 研究方法 • 上一篇    下一篇

微眼动的识别技术

张阳;李艾苏;张少杰;张明   

  1. (苏州大学心理学系, 苏州 215000)
  • 收稿日期:2016-07-11 出版日期:2017-01-15 发布日期:2017-01-15
  • 通讯作者: 张阳, E-mail: yzhangpsy@suda.edu.cn 张明, E-mail: psyzm@suda.edu.cn
  • 基金资助:

    国家自然科学基金项目资助(NSFC: 31300833/31371025)。

Detection methods of microsaccades

ZHANG Yang; LI Aisu; ZHANG Shaojie; ZHANG Ming   

  1. (Department of Psychology, Soochow University, Suzhou 215000, China)
  • Received:2016-07-11 Online:2017-01-15 Published:2017-01-15
  • Contact: ZHANG Yang, E-mail: yzhangpsy@suda.edu.cn ZHANG Ming, E-mail: psyzm@suda.edu.cn

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摘要：

微眼动是人在注视过程中产生的幅度和速率都相对较大的眼动, 它与多种高级认知功能如注意、知觉等有着密切的联系。微眼动研究中的一个重点和难点是如何有效地识别微眼动。文章对微眼动的识别技术进行了综述, 包括：1) 微眼动的基本参数及发展; 2) 几种有代表性的微眼动技术, 包括传统基于经验的识别技术、新近的基于速率变异的识别技术、基于小波分析的识别技术以及基于聚类分析的识别技术; 3) 对这些技术之间各自的优、缺点进行了比较并就新的研究方向进行了展望。

关键词: 微眼动识别, 主观阈值技术, 客观阈值技术, 多指标分析

Abstract:

Eye movement is one of the most fundamental skills for human being to explore the world around us. Microsaccades refer to the involuntarily fast and large eye movements during visual fixation of a stimulus. Over the past 15 years, microsaccades have gradually become one of the hottest fields of vision research. Investigation of microsaccades has relied heavily on successful detection and measurement of the microsaccades. Although during the past half century, microsaccades have received much attention in the fields of psychology, how to detect and measure it robustly and accurately is still an open question. The current paper reviewed the literatures on the algorithm of the microsaccades-detection procedures, and pointed out that the future studies could combine the objective threshold procedure with the multiple- indexes analysis to further optimize and improve the detection procedure of microsaccades.

Key words: detection of microsaccades, experience-dependent method, unsupervised method, multiple- indexes analysis