Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment
Joint Authors
Wang, Baozeng
Li, Ting
Xue, Tao
Zhang, Jinhua
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-09
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
We present a methodology for a hybrid brain-computer interface (BCI) system, with the recognition of motor imagery (MI) based on EEG and blink EOG signals.
We tested the BCI system in a 3D Tetris and an analogous 2D game playing environment.
To enhance player’s BCI control ability, the study focused on feature extraction from EEG and control strategy supporting Game-BCI system operation.
We compared the numerical differences between spatial features extracted with common spatial pattern (CSP) and the proposed multifeature extraction.
To demonstrate the effectiveness of 3D game environment at enhancing player’s event-related desynchronization (ERD) and event-related synchronization (ERS) production ability, we set the 2D Screen Game as the comparison experiment.
According to a series of statistical results, the group performing MI in the 3D Tetris environment showed more significant improvements in generating MI-associated ERD/ERS.
Analysis results of game-score indicated that the players’ scores presented an obvious uptrend in 3D Tetris environment but did not show an obvious downward trend in 2D Screen Game.
It suggested that the immersive and rich-control environment for MI would improve the associated mental imagery and enhance MI-based BCI skills.
American Psychological Association (APA)
Li, Ting& Zhang, Jinhua& Xue, Tao& Wang, Baozeng. 2017. Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1141025
Modern Language Association (MLA)
Li, Ting…[et al.]. Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1141025
American Medical Association (AMA)
Li, Ting& Zhang, Jinhua& Xue, Tao& Wang, Baozeng. Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1141025
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141025