Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/53034
Título: EEG correlates of video game experience and user profile in motor-imagery-based brain-computer interaction
Autores/as: Vourvopoulos, Athanasios
Bermudez I Badia, Sergi 
Liarokapis, Fotis
Clasificación UNESCO: 249001 Neurofisiología
Palabras clave: Brain–computer interfaces
Motor-imagery
EEG
Gaming experience
Fecha de publicación: 2017
Publicación seriada: Visual Computer 
Resumen: Through the use of brain–computer interfaces (BCIs), neurogames have become increasingly more advanced by incorporating immersive virtual environments and 3D worlds. However, training both the user and the system requires long and repetitive trials resulting in fatigue and low performance. Moreover, many users are unable to voluntarily modulate the amplitude of their brain activity to control the neurofeedback loop. In this study, we are focusing on the effect that gaming experience has in brain activity modulation as an attempt to systematically identify the elements that contribute to high BCI control and to be utilized in neurogame design. Based on the current literature, we argue that experienced gamers could have better performance in BCI training due to enhanced sensorimotor learning derived from gaming. To investigate this, two experimental studies were conducted with 20 participants overall, undergoing 3 BCI sessions, resulting in 88 EEG datasets. Results indicate (a) an effect from both demographic and gaming experience data to the activity patterns of EEG rhythms, and (b) increased gaming experience might not increase significantly performance, but it could provide faster learning for ‘Hardcore’ gamers.
URI: http://hdl.handle.net/10553/53034
ISSN: 0178-2789
DOI: 10.1007/s00371-016-1304-2
Fuente: Visual Computer [ISSN 0178-2789], v. 33 (4), p. 533-546
Colección:Artículos
Vista completa

Citas SCOPUSTM   

33
actualizado el 17-nov-2024

Citas de WEB OF SCIENCETM
Citations

31
actualizado el 17-nov-2024

Visitas

114
actualizado el 17-feb-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.