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Random, Scattered and Asymmetric Distribution of Fixational Eye Movement - Experimental Evidence

1LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

2School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China


Research in Psychology and Behavioral Sciences. 2018, Vol. 6 No. 1, 15-26
DOI: 10.12691/rpbs-6-1-3
Copyright © 2018 Science and Education Publishing

Cite this paper:
Zhao Songnian, Cheng Zhongbin, Wang Fengjiao, Zou Qi. Random, Scattered and Asymmetric Distribution of Fixational Eye Movement - Experimental Evidence. Research in Psychology and Behavioral Sciences. 2018; 6(1):15-26. doi: 10.12691/rpbs-6-1-3.

Correspondence to: Zou  Qi, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China. Email: qzou@bjtu.edu.cn

Abstract

How to determine the test chart is very important in fixational eye movement (or microsaccades) experiment, in this paper, the selected test image can provide important information about cognitive psychology and visual information processing, especially including a random dot stereogram as a test image to test the eye movement trajectory of the subjects. According to the computer vision and image feature analysis, we can predict and determine the obvious feature region in the test chart, then, compared with the eye movement trajectory of the subjects. There is a big difference between the eye movement trajectories of each participant, and the distribution of the fixation points is very random, scattered and asymmetric, which cannot be attributed to a certain statistical distribution and cannot determine their statistical parameters, and for this reason this paper suggests that the significant test for eye movement should be an interval estimation, and the specific interval estimates are given, and also points out that the microsaccade is equivalent to the conversion between the frames of visual images; the blinks of eyes are the conversion between the various primitives in visual images. These novel results are valuable for the study of cognitive psychology and vision information processing.

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