An Investigation of Various aspects of Applications Combining SSVEP-based Brain Computer Interface and Augmented Reality****

该项目研究并分析了从电生理（EEG）信号中提取的运动视觉诱发电位（mVEP）的影响，以便将其纳入基于增强现实（AR）头戴设备的游戏和辅助脑机接口（BCI）系统。传统上，BCI系统利用基于脑电图的稳态视觉诱发电位（SSVEP），它使用闪烁或模式反转方法，其中亮度对比度的变化在处理的脑电图响应中产生更高的谐波峰值。然而，持续的高强度对比度变化对使用者来说是不舒服的，会引起视觉疲劳和偏头痛和癫痫发作。本项目探索以动作为导向的视觉诱发电位（mVEP）作为一种替代触发机制，为语音生成设备开发脑机接口。我们的行业合作伙伴是Cognixion，这是一家领先的公司，致力于推进BCI设备和相关AR技术，为丰富人类联系提供另一种通信框架。******

The project studies and analyzes the effects of motion Visually Evoked Potentials (mVEP) extracted from Electrophysiological (EEG) signals for potential incorporation in gaming and assistive Brain Computer Interface (BCI) systems based on augmented reality (AR) headgears. Traditionally, BCI systems utilize EEG-based steady-state visually evoked potential (SSVEP), which use light-flashing or pattern reversal methods, wherein the changes in luminance contrast generate higher harmonic peaks in the processed EEG response. However, continuous high-intensity contrast changes are uncomfortable to users causing visual fatigue and inducing migraines and seizures. The project explores Motion-oriented Visual Evoked Potentials (mVEP) as an alternate trigger mechanism to develop BCI for a speech generating device. Our industry partner is Cognixion, a leading company advancing BCI devices and the associated AR technologies to provide an alternative communication framework for enriching human connections.******