Testing performance of multicolour checkerboard flickers against their greyscale versions for SSVEP-based BCI

A. Szalowski, D. Picovici
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引用次数: 2

Abstract

This paper utilizes an iOS application specifically developed for this research. The application generates multicolour checkerboard flickers of preset sizes using primary and secondary colours of Red-Green-Blue (RGB) additive colour science and allows investigating colour’s impact on brain signals through visual stimulation. Using an iOS tablet equipped with 12.9” screen, all multicolour checkerboards were tested against their greyscale counterparts in order to determine the impact of colour information on the amplitude of generated brain signals using Steady State Visual Evoked Potential (SSVEP) paradigm. The raw brain signals were captured using Emotiv EPOC headset. The results confirm a significant signal gain from the use of colour flickers compared to greyscale flickers.
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针对基于ssvep的BCI的灰度版本测试多色棋盘闪烁的性能
本文使用了一个专门为本研究开发的iOS应用程序。该应用程序使用红绿蓝(RGB)加色科学的原色和副色生成预设大小的多色棋盘闪烁,并允许通过视觉刺激研究颜色对大脑信号的影响。使用配备12.9英寸屏幕的iOS平板电脑,使用稳态视觉诱发电位(SSVEP)范式对所有多色棋盘与灰度棋盘进行测试,以确定颜色信息对生成的大脑信号振幅的影响。使用Emotiv EPOC耳机捕捉原始大脑信号。结果证实,与灰度闪烁相比,使用彩色闪烁具有显著的信号增益。
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