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EEG- and EOG-Based Asynchronous Hybrid BCI: A System Integrating a Speller, a Web Browser, an E-Mail Client, and a File Explorer.

Authors :
He, Shenghong
Tan, Huiling
Li, Yuanqing
Zhou, Yajun
Yu, Tianyou
Zhang, Rui
Huang, Qiyun
Chuai, Lin
Mustafa, Madah-Ul-
Gu, Zhenghui
Yu, Zhu Liang
Source :
IEEE Transactions on Neural Systems & Rehabilitation Engineering; Feb2020, Vol. 28 Issue 2, p519-530, 12p
Publication Year :
2020

Abstract

This paper presents a new asynchronous hybrid brain-computer interface (BCI) system that integrates a speller, a web browser, an e-mail client, and a file explorer using electroencephalographic (EEG) and electrooculography (EOG) signals. More specifically, an EOG-based button selection method, which requires the user to blink his/her eyes synchronously with the target button’s flashes during button selection, is first presented. Next, we propose a mouse control method by combining EEG and EOG signals, in which the left-/right-hand motor imagery (MI)-related EEG is used to control the horizontal movement of the mouse and the blink-related EOG is used to control the vertical movement of the mouse and to select/reject a target. These two methods are further combined to develop the integrated hybrid BCI system. With the hybrid BCI, users can input text, access the internet, communicate with others via e-mail, and manage files in their computer using only EEG and EOG without any body movements. Ten healthy subjects participated in a comprehensive online experiment, and superior performance was achieved compared with our previously developed P300- and MI-based BCI and some other asynchronous BCIs, therefore demonstrating the system’s effectiveness. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15344320
Volume :
28
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Neural Systems & Rehabilitation Engineering
Publication Type :
Academic Journal
Accession number :
141822464
Full Text :
https://doi.org/10.1109/TNSRE.2019.2961309