A hybrid BCI web browser based on EEG and EOG signals

In this study, we propose a new web browser based on a hybrid brain computer interface (BCI) combining electroencephalographic (EEG) and electrooculography (EOG) signals. Specifically, the user can control the horizontal movement of the mouse by imagining left/right hand motion, and control the vert...

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Bibliographic Details
Published in:Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Vol. 2017; pp. 1006 - 1009
Main Authors: Shenghong He, Tianyou Yu, Zhenghui Gu, Yuanqing Li
Format: Conference Proceeding Journal Article
Language:English
Published: United States IEEE 01.07.2017
Subjects:
Browsers
Electroencephalography
electroencephalography (EEG)
Electrooculography
electrooculography (EOG)
Feature extraction
Graphical user interfaces
Hybrid brain computer interface (BCI)
Mice
mouse control
Support vector machines
web browser
ISSN:1557-170X, 2694-0604, 2694-0604
Online Access:Get full text
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Summary:In this study, we propose a new web browser based on a hybrid brain computer interface (BCI) combining electroencephalographic (EEG) and electrooculography (EOG) signals. Specifically, the user can control the horizontal movement of the mouse by imagining left/right hand motion, and control the vertical movement of the mouse, select/reject a target, or input text in an edit box by blinking eyes in synchrony with the flashes of the corresponding buttons on the GUI. Based on mouse control, target selection and text input, the user can open a web page of interest, select an intended target in the web and read the page content. An online experiment was conducted involving five healthy subjects. The experimental results demonstrated the effectiveness of the proposed method.
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ISSN:1557-170X
2694-0604
2694-0604
DOI:10.1109/EMBC.2017.8036996