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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 :
Huiling Tan
Yuanqing Li
Madah-Ul Mustafa
Tianyou Yu
Qiyun Huang
Lin Chuai
Shenghong He
Zhenghui Gu
Rui Zhang
Yajun Zhou
Zhu Liang Yu
Publication Year :
2020
Publisher :
IEEE, 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.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....e2f175590ea4f51b9c3f2b953070e62b