Hybrid Brain-Computer Interface (BCI) Based on Electrooculography (EOG) and Center Eye Tracking

被引：2

作者：

Kubacki, Arkadiusz ^{[1
]}

机构：

[1] Poznan Univ Tech, Inst Mech Technol, Ul Piotrowo 3, PL-60965 Poznan, Poland

来源：

AUTOMATION 2018: ADVANCES IN AUTOMATION, ROBOTICS AND MEASUREMENT TECHNIQUES | 2018年 / 743卷

关键词：

EEG; Electroencephalography; BCI; Hybrid brain-computer interface; EOG; Electrooculography; Center eye tracking; ARTIFACTS;

D O I：

10.1007/978-3-319-77179-3_27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The article describes design process of building hybrid brain-computer interface based on Electrooculography (EOG) and center eye tracking. In first paragraph author presented information about Electroencephalography (EEG) and it classification. Author performed a literature overview concerning on hybrid BCIs. In the next step, author implemented center eye tracking library. The system was built with used of the bioactive sensors mounted on the head, which was triggered by the signal from eyes movement by EOG and eye tracking. The built interface has been tested. Two experiments were created. In all experiments, three people aged 25-35 were involved. Recorded 30 attempts per scenario. Between attempts respondent had a 1-min break. The investigators attempted to enter a virtual red dot into the green square using only eyes movement and blinking.

引用

页码：288 / 297

页数：10

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