Can Teenagers Control a 3D Racing Game using Motion-onset Visual Evoked Potentials?

Ryan Beveridge, Shane Wilson, Damien Coyle

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Motion-onset visual evoked potentials (mVEPs) are time and phase-locked brain responses to motion-related stimuli. An mVEP response provides robust features for brain-computer interface (BCI) applications and have the added benefit of being less visually fatiguing than other visual evoked potentials (VEPs). In this study an mVEP BCI that enables control of a visually rich, 3-dimensional (3D) car-racing video-game is evaluated. A group of fifteen teenage school children (13-16 years old) participated in a single session while they attended a summer school. Participants were asked to control the direction of a car within a realistic racing circuit, where the position of the car was controlled by focusing on one of five motion-related stimuli. Classification accuracy (%) and information transfer rate (ITR) (bits per minute (bpm)) results were encouraging, with participants achieving an average online accuracy of 72% (12bpm) in the first lap, 67% (10bpm) in the second lap and 65% (10bpm) in the third lap (chance accuracy and ITR is 20% and zero bpm). The study shows for the first time the feasibility of using the mVEP paradigm in a commercial-grade car-racing video-game. It is also one of the first reports on the performance of a group of teenagers using a BCI.
LanguageEnglish
Pages102-113
JournalBrain-Computer Interfaces
Volume4
Issue number1-2:SI
Early online date25 Dec 2016
DOIs
Publication statusPublished - 2017

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Bioelectric potentials
Brain computer interface
Railroad cars
Brain
Networks (circuits)

Keywords

  • brain-computer interface (BCI)
  • motion-onset visually evoked potentials (mVEP)
  • electroencephalography (EEG)
  • video game
  • 3-dimensional (3D).

Cite this

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abstract = "Motion-onset visual evoked potentials (mVEPs) are time and phase-locked brain responses to motion-related stimuli. An mVEP response provides robust features for brain-computer interface (BCI) applications and have the added benefit of being less visually fatiguing than other visual evoked potentials (VEPs). In this study an mVEP BCI that enables control of a visually rich, 3-dimensional (3D) car-racing video-game is evaluated. A group of fifteen teenage school children (13-16 years old) participated in a single session while they attended a summer school. Participants were asked to control the direction of a car within a realistic racing circuit, where the position of the car was controlled by focusing on one of five motion-related stimuli. Classification accuracy ({\%}) and information transfer rate (ITR) (bits per minute (bpm)) results were encouraging, with participants achieving an average online accuracy of 72{\%} (12bpm) in the first lap, 67{\%} (10bpm) in the second lap and 65{\%} (10bpm) in the third lap (chance accuracy and ITR is 20{\%} and zero bpm). The study shows for the first time the feasibility of using the mVEP paradigm in a commercial-grade car-racing video-game. It is also one of the first reports on the performance of a group of teenagers using a BCI.",
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Can Teenagers Control a 3D Racing Game using Motion-onset Visual Evoked Potentials? / Beveridge, Ryan; Wilson, Shane; Coyle, Damien.

In: Brain-Computer Interfaces, Vol. 4, No. 1-2:SI, 2017, p. 102-113.

Research output: Contribution to journalArticle

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