Detect visual field using eye tracking and Steady-state visual evoked potential

被引：0

作者：

Zhang Nannan ^{[1
]}

Liu, Yadong ^{[1
]}

Zhou, Zongtan ^{[1
]}

Hu, Dewen ^{[1
]}

Yin Erwei ^{[2
]}

机构：

[1] Natl Univ Def Technol, Coll Mechatron & Automat, Changsha, Hunan, Peoples R China

[2] China Astronaut Res & Training Ctr, Natl Key Lab Human Factors Engn, Beijing, Peoples R China

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC) | 2017年

基金：

中国国家自然科学基金;

关键词：

Steady-state visual evoked potential (SSVEP); visual field; eye tracking; BRAIN-COMPUTER INTERFACE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper makes the subjects' sight locked in a certain area using an eye tracker, getting Steady-state visual evoked potential (SSVEP) from flickering stimuli with a fixed frequency but at random positions, in order to observe the impact of stimulus at different positions and their distances on the electroencephalogram (EEG). The result suggests that if human have to select the positions of stimuli of SSVEP-BCI, it is an agreeable strategy to separate them at least 4 degrees for avoiding the possible mistakes. We hope that it could help in setting distances between stimuli or updating pattern selection algorithms in the future BCI system and other paradigms.

引用

页码：3125 / 3128

页数：4

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