Classification of Visual Attention Level During Target Gazing Using Microsaccades

被引:1
作者
Yokoo, Soichiro [1 ]
Nishiuchi, Nobuyuki [1 ]
Yamanaka, Kimihiro [2 ]
机构
[1] Tokyo Metropolitan Univ, Fac Comp Sci, Grad Sch Syst Design, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan
[2] Konan Univ, Fac Intelligence & Informat, Grad Sch Nat Sci, 8-9-1 Okamoto, Kobe, Hyogo 6588501, Japan
来源
TRANSACTIONS ON COMPUTATIONAL SCIENCE XXXV: SPECIAL ISSUE ON SIGNAL PROCESSING AND SECURITY IN DISTRIBUTED SYSTEMS | 2020年 / 11960卷
关键词
Microsaccade; Visual attention; Eye tracking; MOVEMENTS;
D O I
10.1007/978-3-662-61092-3_1
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the previous researches on microsaccades, a typical and basic experimental method involves the following: a dot is displayed as a visual target in the middle or near the middle of a monitor, and eye movements of the subject are measured, and then the number of microsaccades is extracted from the measured eye movements. However, it is difficult to determine whether or not the subject is paying visual attention while gazing at the target, and the degree of visual attention paid by the subject. This paper proposes a system that uses microsaccades to classify visual attention levels during visual target gazing. In our experiment, ten subjects performed three tasks requiring different levels of visual attention. Microsaccades were measured and the number of microsaccades was extracted for each task. Statistical analysis showed that the number of microsaccades differed among the tasks. Our results suggest that visual attention level can be classified by the number of microsaccades.
引用
收藏
页码:1 / 11
页数:11
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