Literature DB >> 21926016

Target selection with hybrid feature for BCI-based 2-D cursor control.

Jinyi Long1, Yuanqing Li, Tianyou Yu, Zhenghui Gu.   

Abstract

To control a cursor on a monitor screen, a user generally needs to perform two tasks sequentially. The first task is to move the cursor to a target on the monitor screen (termed a 2-D cursor movement), and the second task is either to select a target of interest by clicking on it or to reject a target that is not of interest by not clicking on it. In a previous study, we implemented the former function in an EEG-based brain-computer interface system using motor imagery and the P300 potential to control the horizontal and vertical cursor movements, respectively. In this study, the target selection or rejection functionality is implemented using a hybrid feature from motor imagery and the P300 potential. Specifically, to select the target of interest, the user must focus his or her attention on a flashing button to evoke the P300 potential, while simultaneously maintaining an idle state of motor imagery. Otherwise, the user performs left-/right-hand motor imagery without paying attention to any buttons to reject the target. Our data analysis and online experimental results validate the effectiveness of our approach. The proposed hybrid feature is shown to be more effective than the use of either the motor imagery feature or the P300 feature alone. Eleven subjects attended our online experiment, in which a trial involved sequential 2-D cursor movement and target selection. The average duration of each trial and average accuracy of target selection were 18.19 s and 93.99% , respectively, and each target selection or rejection event was performed within 2 s.
© 2011 IEEE

Entities:  

Mesh:

Year:  2011        PMID: 21926016     DOI: 10.1109/TBME.2011.2167718

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  16 in total

Review 1.  Brain-computer interfaces using sensorimotor rhythms: current state and future perspectives.

Authors:  Han Yuan; Bin He
Journal:  IEEE Trans Biomed Eng       Date:  2014-05       Impact factor: 4.538

2.  Novel hybrid brain-computer interface system based on motor imagery and P300.

Authors:  Cili Zuo; Jing Jin; Erwei Yin; Rami Saab; Yangyang Miao; Xingyu Wang; Dewen Hu; Andrzej Cichocki
Journal:  Cogn Neurodyn       Date:  2019-10-21       Impact factor: 5.082

3.  Exploring Cognitive Flexibility With a Noninvasive BCI Using Simultaneous Steady-State Visual Evoked Potentials and Sensorimotor Rhythms.

Authors:  Bradley J Edelman; Jianjun Meng; Nicholas Gulachek; Christopher C Cline; Bin He
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-05       Impact factor: 3.802

4.  A Usability Study of Low-cost Wireless Brain-Computer Interface for Cursor Control Using Online Linear Model.

Authors:  Reza Abiri; Soheil Borhani; Justin Kilmarx; Connor Esterwood; Yang Jiang; Xiaopeng Zhao
Journal:  IEEE Trans Hum Mach Syst       Date:  2020-05-14       Impact factor: 2.968

Review 5.  Review of brain encoding and decoding mechanisms for EEG-based brain-computer interface.

Authors:  Lichao Xu; Minpeng Xu; Tzyy-Ping Jung; Dong Ming
Journal:  Cogn Neurodyn       Date:  2021-04-10       Impact factor: 3.473

Review 6.  Hybrid Brain-Computer Interface Techniques for Improved Classification Accuracy and Increased Number of Commands: A Review.

Authors:  Keum-Shik Hong; Muhammad Jawad Khan
Journal:  Front Neurorobot       Date:  2017-07-24       Impact factor: 2.650

Review 7.  A systematic review of hybrid brain-computer interfaces: Taxonomy and usability perspectives.

Authors:  Inchul Choi; Ilsun Rhiu; Yushin Lee; Myung Hwan Yun; Chang S Nam
Journal:  PLoS One       Date:  2017-04-28       Impact factor: 3.240

8.  An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300.

Authors:  Jinyi Long; Jue Wang; Tianyou Yu
Journal:  Comput Intell Neurosci       Date:  2017-02-19

9.  A hybrid brain-computer interface-based mail client.

Authors:  Tianyou Yu; Yuanqing Li; Jinyi Long; Feng Li
Journal:  Comput Math Methods Med       Date:  2013-04-18       Impact factor: 2.238

10.  Toward a hybrid brain-computer interface based on repetitive visual stimuli with missing events.

Authors:  Yingying Wu; Man Li; Jing Wang
Journal:  J Neuroeng Rehabil       Date:  2016-07-26       Impact factor: 4.262

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