VOURVOPOULOS, Athanasios, Fotis LIAROKAPIS a 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, s. 139-146. ISBN 978-1-4799-8102-1. Dostupné z: https://dx.doi.org/10.1109/VS-GAMES.2015.7295789.
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Základní údaje
Originální název The Effect of Prior Gaming Experience in Motor Imagery Training for Brain-Computer Interfaces: A Pilot Study
Autoři VOURVOPOULOS, Athanasios (300 Řecko), Fotis LIAROKAPIS (300 Řecko, domácí) a Mon-Chu CHEN (620 Portugalsko).
Vydání Skovde, Sweden, Proc. of the 7th International Conference on Games and Virtual Worlds for Serious Applications (VS-Games 2015), od s. 139-146, 8 s. 2015.
Nakladatel IEEE Computer Society
Další údaje
Originální jazyk angličtina
Typ výsledku Stať ve sborníku
Obor 10201 Computer sciences, information science, bioinformatics
Utajení není předmětem státního či obchodního tajemství
Forma vydání paměťový nosič (CD, DVD, flash disk)
WWW URL
Kód RIV RIV/00216224:14330/15:00083889
Organizační jednotka Fakulta informatiky
ISBN 978-1-4799-8102-1
Doi http://dx.doi.org/10.1109/VS-GAMES.2015.7295789
Klíčová slova anglicky Brain-Computer Interfaces; Serious Games; Virtual Reality; Motor Imagery
Štítky firank_B
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnil: RNDr. Pavel Šmerk, Ph.D., učo 3880. Změněno: 2. 5. 2016 15:02.
Anotace
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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