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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