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

基于SSVEP的脑机接口和增强现实相结合的应用的各个方面的调查****

• 批准号: 537572-2018
• 负责人: Asif, Amir
• 金额: $ 1.82万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=644216
• 关键词: Investigation; Various; aspects; Applications; Combining

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.******

该项目研究和分析了从电生理（EEG）信号中提取的运动视觉诱发电位（mVEP）的影响，以用于基于增强现实（AR）头盔的游戏和辅助脑机接口（BCI）系统。传统上，BCI系统利用基于EEG的稳态视觉诱发电位（SSVEP），其使用光闪烁或模式反转方法，其中亮度对比度的变化在处理的EEG响应中产生较高的谐波峰值。然而，连续的高强度对比度变化对用户来说是不舒服的，导致视觉疲劳并诱发偏头痛和癫痫发作。该项目探讨了面向运动的视觉诱发电位（mVEP）作为一种替代触发机制，以开发用于语音生成设备的BCI。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设备和相关的AR技术，为丰富人类联系提供替代通信框架。