• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

神经游戏中的3D图形、虚拟现实和运动起始视觉诱发电位

3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming.

作者信息

Beveridge R, Wilson S, Coyle D

机构信息

Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, United Kingdom.

Intelligent Systems Research Centre, Ulster University, Derry, Northern Ireland, United Kingdom.

出版信息

Prog Brain Res. 2016;228:329-53. doi: 10.1016/bs.pbr.2016.06.006. Epub 2016 Jul 12.

DOI:10.1016/bs.pbr.2016.06.006
PMID:27590974
Abstract

A brain-computer interface (BCI) offers movement-free control of a computer application and is achieved by reading and translating the cortical activity of the brain into semantic control signals. Motion-onset visual evoked potentials (mVEP) are neural potentials employed in BCIs and occur when motion-related stimuli are attended visually. mVEP dynamics are correlated with the position and timing of the moving stimuli. To investigate the feasibility of utilizing the mVEP paradigm with video games of various graphical complexities including those of commercial quality, we conducted three studies over four separate sessions comparing the performance of classifying five mVEP responses with variations in graphical complexity and style, in-game distractions, and display parameters surrounding mVEP stimuli. To investigate the feasibility of utilizing contemporary presentation modalities in neurogaming, one of the studies compared mVEP classification performance when stimuli were presented using the oculus rift virtual reality headset. Results from 31 independent subjects were analyzed offline. The results show classification performances ranging up to 90% with variations in conditions in graphical complexity having limited effect on mVEP performance; thus, demonstrating the feasibility of using the mVEP paradigm within BCI-based neurogaming.

摘要

脑机接口(BCI)可实现对计算机应用的无动作控制,其通过读取大脑皮层活动并将其转换为语义控制信号来达成。运动起始视觉诱发电位(mVEP)是BCI中使用的神经电位,当视觉上关注与运动相关的刺激时就会出现。mVEP动态与移动刺激的位置和时间相关。为了研究在包括商业品质在内的各种图形复杂度的电子游戏中使用mVEP范式的可行性,我们在四个不同的时间段进行了三项研究,比较了对五种mVEP反应进行分类时在图形复杂度和风格、游戏内干扰以及mVEP刺激周围显示参数方面的变化所带来的表现。为了研究在神经游戏中使用当代呈现方式的可行性,其中一项研究比较了使用Oculus Rift虚拟现实头戴式设备呈现刺激时的mVEP分类表现。对31名独立受试者的结果进行了离线分析。结果表明,分类表现高达90%,图形复杂度条件的变化对mVEP表现的影响有限;因此,证明了在基于BCI的神经游戏中使用mVEP范式的可行性。

相似文献

1
3D graphics, virtual reality, and motion-onset visual evoked potentials in neurogaming.神经游戏中的3D图形、虚拟现实和运动起始视觉诱发电位
Prog Brain Res. 2016;228:329-53. doi: 10.1016/bs.pbr.2016.06.006. Epub 2016 Jul 12.
2
Neurogaming With Motion-Onset Visual Evoked Potentials (mVEPs): Adults Versus Teenagers.基于运动起始视觉诱发电位(mVEPs)的神经游戏:成年人与青少年。
IEEE Trans Neural Syst Rehabil Eng. 2019 Apr;27(4):572-581. doi: 10.1109/TNSRE.2019.2904260. Epub 2019 Mar 11.
3
The extraction of motion-onset VEP BCI features based on deep learning and compressed sensing.基于深度学习和压缩感知的运动起始视觉诱发电位脑机接口特征提取
J Neurosci Methods. 2017 Jan 1;275:80-92. doi: 10.1016/j.jneumeth.2016.11.002. Epub 2016 Nov 11.
4
A brain-computer interface using motion-onset visual evoked potential.一种使用运动起始视觉诱发电位的脑机接口。
J Neural Eng. 2008 Dec;5(4):477-85. doi: 10.1088/1741-2560/5/4/011. Epub 2008 Nov 18.
5
A brain computer interface based on motion-onset VEPs.基于运动起始视觉诱发电位的脑机接口。
Annu Int Conf IEEE Eng Med Biol Soc. 2008;2008:4478-81. doi: 10.1109/IEMBS.2008.4650207.
6
A combined brain-computer interface based on P300 potentials and motion-onset visual evoked potentials.一种基于 P300 电位和运动起始视觉诱发电位的脑-机接口组合。
J Neurosci Methods. 2012 Apr 15;205(2):265-76. doi: 10.1016/j.jneumeth.2012.01.004. Epub 2012 Jan 16.
7
A Single-Stimulus, Multitarget BCI Based on Retinotopic Mapping of Motion-Onset VEPs.基于运动视诱发电位的视网膜映射的单刺激、多目标 BCI。
IEEE Trans Biomed Eng. 2019 Feb;66(2):464-470. doi: 10.1109/TBME.2018.2849102. Epub 2018 Jun 20.
8
An N200 speller integrating the spatial profile for the detection of the non-control state.一种集成空间分布特征的 N200 拼写器,用于检测非控制状态。
J Neural Eng. 2012 Apr;9(2):026016. doi: 10.1088/1741-2560/9/2/026016. Epub 2012 Mar 14.
9
Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game.基于稳态视觉诱发电位的脑-机接口用户交互分析:以游戏为例的案例研究。
Comput Intell Neurosci. 2018 Apr 15;2018:4920132. doi: 10.1155/2018/4920132. eCollection 2018.
10
Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials.用于一维和二维光标控制的脑机接口:利用脑电图频谱或稳态视觉诱发电位的自主控制进行设计。
IEEE Trans Neural Syst Rehabil Eng. 2006 Jun;14(2):225-9. doi: 10.1109/TNSRE.2006.875578.

引用本文的文献

1
Brain-Computer Interfaces for Children With Complex Communication Needs and Limited Mobility: A Systematic Review.面向有复杂沟通需求和行动受限儿童的脑机接口:一项系统综述
Front Hum Neurosci. 2021 Jul 14;15:643294. doi: 10.3389/fnhum.2021.643294. eCollection 2021.
2
A Radial Zoom Motion-Based Paradigm for Steady State Motion Visual Evoked Potentials.一种基于径向缩放运动的稳态运动视觉诱发电位范式。
Front Hum Neurosci. 2019 Apr 16;13:127. doi: 10.3389/fnhum.2019.00127. eCollection 2019.