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

Beveridge, Ryan, Wilson, Shane and Coyle, Damien (2016) Can Teenagers Control a 3D Racing Game using Motion-onset Visual Evoked Potentials? Brain-Computer Interfaces, na . pp. 1-11. [Journal article]

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DOI: 10.1080/2326263X.2016.1266725

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.

Item Type:Journal article
Keywords:brain-computer interface (BCI); motion-onset visually evoked potentials (mVEP); electroencephalography (EEG); video game; 3-dimensional (3D).
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute > Intelligent Systems Research Centre
Computer Science Research Institute
ID Code:36461
Deposited By: Prof Damien Coyle
Deposited On:04 Jan 2017 15:15
Last Modified:04 Jan 2017 15:15

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