Literature DB >> 31870987

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

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

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.

Entities:  

Year:  2019        PMID: 31870987     DOI: 10.1109/TNSRE.2019.2961309

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  8 in total

1.  A Regional Smoothing Block Sparse Bayesian Learning Method With Temporal Correlation for Channel Selection in P300 Speller.

Authors:  Xueqing Zhao; Jing Jin; Ren Xu; Shurui Li; Hao Sun; Xingyu Wang; Andrzej Cichocki
Journal:  Front Hum Neurosci       Date:  2022-06-10       Impact factor: 3.473

Review 2.  EOG-Based Human-Computer Interface: 2000-2020 Review.

Authors:  Chama Belkhiria; Atlal Boudir; Christophe Hurter; Vsevolod Peysakhovich
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

3.  Controlling a Mouse Pointer with a Single-Channel EEG Sensor.

Authors:  Alberto J Molina-Cantero; Juan A Castro-García; Fernando Gómez-Bravo; Rafael López-Ahumada; Raúl Jiménez-Naharro; Santiago Berrazueta-Alvarado
Journal:  Sensors (Basel)       Date:  2021-08-14       Impact factor: 3.576

4.  A Human-Machine Interface Based on an EOG and a Gyroscope for Humanoid Robot Control and Its Application to Home Services.

Authors:  Fan Wang; Xiongzi Li; Jiahui Pan
Journal:  J Healthc Eng       Date:  2022-03-19       Impact factor: 2.682

5.  Toward a Brain-Computer Interface- and Internet of Things-Based Smart Ward Collaborative System Using Hybrid Signals.

Authors:  Xugang Cai; Jiahui Pan
Journal:  J Healthc Eng       Date:  2022-04-18       Impact factor: 3.822

6.  A Brain Controlled Command-Line Interface to Enhance the Accessibility of Severe Motor Disabled People to Personnel Computer.

Authors:  Sofien Gannouni; Kais Belwafi; Mohammad Reshood Al-Sulmi; Meshal Dawood Al-Farhood; Omar Ali Al-Obaid; Abdullah Mohammed Al-Awadh; Hatim Aboalsamh; Abdelfettah Belghith
Journal:  Brain Sci       Date:  2022-07-15

7.  A Bipolar-Channel Hybrid Brain-Computer Interface System for Home Automation Control Utilizing Steady-State Visually Evoked Potential and Eye-Blink Signals.

Authors:  Dalin Yang; Trung-Hau Nguyen; Wan-Young Chung
Journal:  Sensors (Basel)       Date:  2020-09-24       Impact factor: 3.576

Review 8.  A Comprehensive Review on Critical Issues and Possible Solutions of Motor Imagery Based Electroencephalography Brain-Computer Interface.

Authors:  Amardeep Singh; Ali Abdul Hussain; Sunil Lal; Hans W Guesgen
Journal:  Sensors (Basel)       Date:  2021-03-20       Impact factor: 3.576

  8 in total

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