Classification effects on Motion-Onset Visual Evoked Potentials using commercially available video games

作者: Ryan Beveridge , David Marshall , Shane Wilson , Damien Coyle

DOI: 10.1109/CGAMES.2015.7272958

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摘要: Motion Onset Visually Evoked Potentials (mVEPs) are elicited by visual stimuli that offer a more elegant, less fatiguing presentation than other used in evoked potentials (VEPs) studies. mVEP for use brain computer interface (BCI) video gaming users pleasant environment to play games. Modern, commercially available games popular form of entertainment offering visually compelling, dynamic and graphically complex environments. However, most exhibit properties such as moving, flashing imagery 3D shapes which may hinder accuracies certain BCI paradigms. Because relies on motion stimulus rather imagery, it be apposite within game environments VEPs P300 SSVEP. In this study we investigate the potential impact varying levels graphical fidelity from an control scheme. Building previous study, investigated simplistic based levels, current investigates increased complexity five different generations console genres. We compared effects each detection accuracy found some primitive primary colours, character movement, pace have influence accuracies. These findings provide information relevant design is appealing wide range whilst maintaining

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