Feasibility and practical considerations of using steady-state-visual evoked potential to control an augmented virtual reality environment

使用稳态视觉诱发电位控制增强虚拟现实环境的可行性和实际考虑

• 批准号: 537768-2018
• 负责人: Jiang, Ning
• 金额: $ 0.91万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Plus 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=654672
• 关键词: Feasibility; practical; considerations; using; steady

Communication is an essential part of everyday living. However, many people suffer from conditions and**deficits that render them unable to communicate directly with others. For these individuals, a trained**professional is often required to assist them continuously, which makes it impossible for them to live**independently. It also places a heavy financial and psychological burden on their families. Supported by the**previous ENGAGE grant, Cognixion and the UW team led by Dr. Jiang have worked together in the effort to**develop a platform that allows users to communicate non-verbally with the aid of state-of-the-art non-invasive**brain-computer interfaces (BCIs) and smartphone technologies. Specifically, we will implement different**visual stimuli that can elicit brain signals with distinctive patterns. These patterns will be used to decode the**user's intention. Different stimulus parameters such as different flashing frequencies, color, and size will be**investigated. All implementation will be based on Cognixion's existing AR platform based on UNITY and iOS**environment, so it is most efficient to translate into Cognixion's next-generation product. We will also how the**effectiveness (i.e. the number of stimuli recognized by the algorithm) of such a BCI system changes in different**real-world environments that Cognixion's customer would be in.

交流是日常生活中必不可少的一部分。然而，许多人患有疾病和缺陷，使他们无法与他人直接交流。对于这些人来说，经常需要训练有素的**专业人员不断地帮助他们，这使得他们无法**独立生活。这也给他们的家庭带来了沉重的经济和心理负担。在之前的Engage拨款的支持下，Cognixion和江博士领导的UW团队共同努力**开发了一个平台，允许用户在最先进的非侵入性**脑机接口(BCI)和智能手机技术的帮助下进行非语言交流。具体地说，我们将实施不同的**视觉刺激，这些刺激可以用不同的模式引发大脑信号。这些模式将被用来解码**用户的意图。不同的刺激参数，如不同的闪光频率、颜色和大小将被**研究。所有的实现都将基于Cognixion现有的基于unity和iOS**环境的AR平台，所以最高效的是转换到Cognixion的下一代产品。我们还将介绍这种BCI系统的**有效性(即算法识别的刺激量)在Cognixion的客户所处的不同**真实环境中如何变化。