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.
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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
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Confidentiality degree is not subject to a state or trade secret
Publication form storage medium (CD, DVD, flash disk)
WWW 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
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 2/5/2016 15:02.
Abstract
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.
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