The Effect of Prior Gaming Experience in Motor Imagery Training for Brain-Computer Interfaces: A Pilot Study

VOURVOPOULOS, Athanasios, Fotis LIAROKAPIS and Mon-Chu CHEN. The Effect of Prior Gaming Experience in Motor Imagery Training for Brain-Computer Interfaces: A Pilot Study. In Proc. of the 7th International Conference on Games and Virtual Worlds for Serious Applications (VS-Games 2015). Skovde, Sweden: IEEE Computer Society, 2015, p. 139-146. ISBN 978-1-4799-8102-1. Available from: https://dx.doi.org/10.1109/VS-GAMES.2015.7295789.

Basic information

Original name

The Effect of Prior Gaming Experience in Motor Imagery Training for Brain-Computer Interfaces: A Pilot Study

Authors

VOURVOPOULOS, Athanasios (300 Greece), Fotis LIAROKAPIS (300 Greece, belonging to the institution) and Mon-Chu CHEN (620 Portugal)

Edition

Skovde, Sweden, Proc. of the 7th International Conference on Games and Virtual Worlds for Serious Applications (VS-Games 2015), p. 139-146, 8 pp. 2015

Publisher

IEEE Computer Society

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

References:

URL

RIV identification code

RIV/00216224:14330/15:00083889

Organization unit

Faculty of Informatics

ISBN

978-1-4799-8102-1

DOI

http://dx.doi.org/10.1109/VS-GAMES.2015.7295789

Keywords in English

Brain-Computer Interfaces; Serious Games; Virtual Reality; Motor Imagery

Tags

firank_B

Tags

International impact, Reviewed

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Abstract

V originále

Brain–Computer Interfaces (BCIs) are communication systems which translate brain activity into control commands in order to be used by computer systems. In recent years, BCIs had been used as an input method for video games and virtual environments mainly as research prototypes. However, BCI training requires long and repetitive trials resulting in user fatigue and low performance. Past research in BCI was mostly oriented around the signal processing layers neglecting the human aspect in the loop. In this paper, we are focusing at the effect that prior gaming experience has at the brain pattern modulation as an attempt to systematically identify all these elements that contribute to high BCI control. Based on current literature, we argue that experienced gamers could have better performance in BCI training due to enhanced sensorimotor learning derived from gaming. To achieve this a pilot study with 12 participants was conducted, undergoing 3 BCI training sessions, resulting in 36 EEG datasets. Results show that a strong gaming profile not only could possibly enhance the performance in BCI training through Motor-Imagery but it can also increase EEG rhythm activity.