Brain-computer interface : next generation thought controlled distributed video game development platform

Payam Aghaei Pour; Tauseef Gulrez; Omar AIZoubi; Gaetano Gargiulo; Rafael A. Calvo

doi:10.1109/CIG.2008.5035647

Brain-computer interface : next generation thought controlled distributed video game development platform

Payam Aghaei Pour, Tauseef Gulrez, Omar AIZoubi, Gaetano Gargiulo, Rafael A. Calvo

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

31 Citations (Scopus)

Abstract

In this paper we present a system that uses the human ability to control a video game on a mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained using a specially designed electrode cap and equipment, and sent through a Bluetooth connection to a pc that processes it in real time. The signal was then mapped onto two control signals and sent through wireless connection to a mobile gaming device BreakOut. We have also investigated the human's ability to play the video game by manipulating neuronal motor cortex activity in the presence of a visual feedback environment. The participants played the video game by using their thoughts only with up to 80% accuracy over controlling the target.

Original language	English
Title of host publication	CIG '08: 2008 IEEE Symposium on Computational Intelligence and Games, Perth, Australia, 15-18 December 2008
Publisher	IEEE
Pages	251-257
Number of pages	7
ISBN (Print)	9781424429745
DOIs	https://doi.org/10.1109/CIG.2008.5035647
Publication status	Published - 2008
Event	IEEE Symposium on Computational Intelligence and Games - Duration: 15 Dec 2008 → …

Conference

Conference	IEEE Symposium on Computational Intelligence and Games
Period	15/12/08 → …

Access to Document

10.1109/CIG.2008.5035647

Cite this

@inproceedings{36a5d1c8847f44f2acca1280817bc86b,

title = "Brain-computer interface : next generation thought controlled distributed video game development platform",

abstract = "In this paper we present a system that uses the human ability to control a video game on a mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained using a specially designed electrode cap and equipment, and sent through a Bluetooth connection to a pc that processes it in real time. The signal was then mapped onto two control signals and sent through wireless connection to a mobile gaming device BreakOut. We have also investigated the human's ability to play the video game by manipulating neuronal motor cortex activity in the presence of a visual feedback environment. The participants played the video game by using their thoughts only with up to 80% accuracy over controlling the target.",

author = "Pour, {Payam Aghaei} and Tauseef Gulrez and Omar AIZoubi and Gaetano Gargiulo and Calvo, {Rafael A.}",

year = "2008",

doi = "10.1109/CIG.2008.5035647",

language = "English",

isbn = "9781424429745",

pages = "251--257",

booktitle = "CIG '08: 2008 IEEE Symposium on Computational Intelligence and Games, Perth, Australia, 15-18 December 2008",

publisher = "IEEE",

note = "IEEE Symposium on Computational Intelligence and Games ; Conference date: 15-12-2008",

}

Pour, PA, Gulrez, T, AIZoubi, O, Gargiulo, G & Calvo, RA 2008, Brain-computer interface : next generation thought controlled distributed video game development platform. in CIG '08: 2008 IEEE Symposium on Computational Intelligence and Games, Perth, Australia, 15-18 December 2008. IEEE, pp. 251-257, IEEE Symposium on Computational Intelligence and Games, 15/12/08. https://doi.org/10.1109/CIG.2008.5035647

Brain-computer interface : next generation thought controlled distributed video game development platform. / Pour, Payam Aghaei; Gulrez, Tauseef; AIZoubi, Omar et al.
CIG '08: 2008 IEEE Symposium on Computational Intelligence and Games, Perth, Australia, 15-18 December 2008. IEEE, 2008. p. 251-257.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

TY - GEN

T1 - Brain-computer interface : next generation thought controlled distributed video game development platform

AU - Pour, Payam Aghaei

AU - Gulrez, Tauseef

AU - AIZoubi, Omar

AU - Gargiulo, Gaetano

AU - Calvo, Rafael A.

PY - 2008

Y1 - 2008

N2 - In this paper we present a system that uses the human ability to control a video game on a mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained using a specially designed electrode cap and equipment, and sent through a Bluetooth connection to a pc that processes it in real time. The signal was then mapped onto two control signals and sent through wireless connection to a mobile gaming device BreakOut. We have also investigated the human's ability to play the video game by manipulating neuronal motor cortex activity in the presence of a visual feedback environment. The participants played the video game by using their thoughts only with up to 80% accuracy over controlling the target.

AB - In this paper we present a system that uses the human ability to control a video game on a mobile device using electroencephalographic (EEG) Mu rhythms. The signals were obtained using a specially designed electrode cap and equipment, and sent through a Bluetooth connection to a pc that processes it in real time. The signal was then mapped onto two control signals and sent through wireless connection to a mobile gaming device BreakOut. We have also investigated the human's ability to play the video game by manipulating neuronal motor cortex activity in the presence of a visual feedback environment. The participants played the video game by using their thoughts only with up to 80% accuracy over controlling the target.

UR - http://handle.uws.edu.au:8081/1959.7/549830

UR - http://www.csse.uwa.edu.au/cig08/

U2 - 10.1109/CIG.2008.5035647

DO - 10.1109/CIG.2008.5035647

M3 - Conference Paper

SN - 9781424429745

SP - 251

EP - 257

BT - CIG '08: 2008 IEEE Symposium on Computational Intelligence and Games, Perth, Australia, 15-18 December 2008

PB - IEEE

T2 - IEEE Symposium on Computational Intelligence and Games

Y2 - 15 December 2008

ER -

Brain-computer interface : next generation thought controlled distributed video game development platform

Abstract

Conference

Access to Document

Other files and links

Fingerprint

Cite this