Beveridge, Ryan

Coyle, Damien

Wilson, Shane

English

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

Ulster University's Research Portal

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

https://pure.ulster.ac.uk/ws/files/11576383/BCI%20Journal%20accepted%20version.pdf

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

Abstract

Similar works

Full text

Available Versions

Ulster University's Research Portal