A Portable System of Visual Fatigue Evaluation for Stereoscopic Display

被引：0

作者：

Bai, Yue ^{[1
,2
]}

Cho, Jun-Dong ^{[2
]}

Hussain, Ghulam ^{[2
]}

Xie, Song-Yun ^{[1
]}

机构：

[1] Northwestern Polytech Univ, Sch Elect & Informat, Xian, Peoples R China

[2] Sungkyunkwan Univ, Dept Elect & Comp Engn, Suwon, South Korea

来源：

NEURAL INFORMATION PROCESSING (ICONIP 2017), PT IV | 2017年 / 10637卷

基金：

中国国家自然科学基金;

关键词：

EEG; Fuzzy theory; Visual fatigue; Vergence-accommodation conflict (VAC); 3D;

D O I：

10.1007/978-3-319-70093-9_31

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Stereoscopic display is contributing to realistic three dimensional (3D) effect which has been widely prevalent and successfully commercialized. However, visual fatigue is still an unsolved issue for these applications and has negative effects on viewers. In this paper, we proposed a method based on analysis of the production theory of 3D display and measurement of biological signals to evaluate visual fatigue. Given that two types of methods have a complementary relationship, we designed a Fuzzy Fusion of Visual Fatigue (FFVF) model using vergence-accommodation conflict (VAC) and electroencephalogram (EEG) signal. By utilizing the fuzzy theory as a fusion method to multiple features, our proposed FFVF model shows a high Pearson correlation value of 0.9676 with questionnaire results while maintaining high stability. This kind of portable human-friendly 3D viewing evaluation technology can be widely deployed.

引用

页码：296 / 306

页数：11

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