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

School of Engineering, Design & Built Environment

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

32 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 → …

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10.1109/CIG.2008.5035647

Cite this

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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.}",

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doi = "10.1109/CIG.2008.5035647",

language = "English",

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pages = "251--257",

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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

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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.

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

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