Literature DB >> 21096894

A hybrid BCI system for 2-D asynchronous cursor control.

Yuanqing Li1, Jinyi Long, Tianyou Yu, Zhuliang Yu, Chuanchu Wang, Haihong Zhang, Cuntai Guan.   

Abstract

In this paper, a hybrid EEG-based brain computer interface (BCI) is designed for two-dimensional cursor control. In our approach, two brain activity patterns, i.e., motor imagery and P300 potential, are used for controlling the horizontal and the vertical movements of the cursor respectively. A real-time BCI system based on this approach is implemented and evaluated through an online experiment. Six subjects attending this experiment can perform 2-D cursor control effectively. Our experimental results show that the system has the following merits compared with prior systems: 1) it does not rely on intensive user training; 2) it allows cursor movement between arbitrary positions.

Mesh:

Year:  2010        PMID: 21096894     DOI: 10.1109/IEMBS.2010.5627394

Source DB:  PubMed          Journal:  Annu Int Conf IEEE Eng Med Biol Soc        ISSN: 2375-7477


  4 in total

1.  Design and Evaluation of Fusion Approach for Combining Brain and Gaze Inputs for Target Selection.

Authors:  Andéol Évain; Ferran Argelaguet; Géry Casiez; Nicolas Roussel; Anatole Lécuyer
Journal:  Front Neurosci       Date:  2016-10-07       Impact factor: 4.677

2.  Designing Guiding Systems for Brain-Computer Interfaces.

Authors:  Nataliya Kosmyna; Anatole Lécuyer
Journal:  Front Hum Neurosci       Date:  2017-07-31       Impact factor: 3.169

3.  A Noninvasive BCI System for 2D Cursor Control Using a Spectral-Temporal Long Short-Term Memory Network.

Authors:  Kang Pan; Li Li; Lei Zhang; Simeng Li; Zhuokun Yang; Yuzhu Guo
Journal:  Front Comput Neurosci       Date:  2022-03-23       Impact factor: 2.380

4.  A conceptual space for EEG-based brain-computer interfaces.

Authors:  Nataliya Kosmyna; Anatole Lécuyer
Journal:  PLoS One       Date:  2019-01-03       Impact factor: 3.240

  4 in total

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