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

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:
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
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

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中文摘要
翻译
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沟通。对于这些人来说,经常需要一个训练有素的专业人员不断地帮助他们,这使得他们不可能独立生活。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基金的支持下,Cognixion和蒋博士领导的华盛顿大学团队共同努力开发一个平台,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。具体来说,我们将实施不同的视觉刺激,这些刺激可以引发具有不同模式的大脑信号。这些模式将用于解码**用户的意图。将研究不同的刺激参数,如不同的闪烁频率、颜色和大小。所有的实现都将基于Cognixion现有的基于UNITY和iOS**环境的AR平台,因此它最有效地转化为Cognixion的下一代产品。我们还将了解在Cognixion客户所处的不同现实环境中,这种BCI系统的有效性(即算法识别的刺激数量)是如何变化的。
英文摘要
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.
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In-home cardiac monitoring system for cardiac patients during a pandemic such as COVID-19
  • 批准号:
    551988-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Jiang, Ning
  • 依托单位:
Signal Processing of Electromyography with Bayesian Framework for Next Generation Motion Integration Human Machine Interface
  • 批准号:
    RGPIN-2016-04137
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $3.35万
  • 财政年份:
    2019
  • 负责人:
    Jiang, Ning
  • 依托单位:
Mobile ECG device, data collection and information processing (mECG solution)
  • 批准号:
    503545-2016
  • 项目类别:
    Collaborative Research and Development Grants
  • 资助金额:
    $12.17万
  • 财政年份:
    2018
  • 负责人:
    Jiang, Ning
  • 依托单位:
Miniature ECG Acquisition and Processing for Stress assessment during Virtual Reality Applications
  • 批准号:
    531540-2018
  • 项目类别:
    Engage Grants Program
  • 资助金额:
    $1.82万
  • 财政年份:
    2018
  • 负责人:
    Jiang, Ning
  • 依托单位:
国内基金
海外基金
Lagrange网络实用同步的不连续控制研究
  • 批准号:
    61603174
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    20.0万元
  • 批准年份:
    2016
  • 负责人:
    马米花
  • 依托单位: