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An Application Framework for Controlling an Avatar in a Desktop-Based Virtual Environment via a Software SSVEP Brain-Computer Interface

机译:通过软件SSVEP脑机接口在基于桌面的虚拟环境中控制头像的应用程序框架

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摘要

This paper presents a reusable, highly configurable application framework that seamlessly integrates SSVEP stimuli within a desktop-based virtual environment (VE) on standard PC equipment Steady-state visual evoked potentials (SSVEPs) are brain signals that offer excellent information transfer rates (ITR) within brain-computer interface (BCI) systems while requiring only minimal training. Generating SSVEP stimuli in a VE allows for an easier implementation of motivating training paradigms and more realistic simulations of real-world applications. EEG measurements on seven healthy subjects within three scenarios (Button, Slalom, and Apartment) showed that moving and static software generated SSVEP stimuli flickering at frequencies of up to 29 Hz proved suitable to elicit SSVEPs. This research direction could lead to vastly improved immersive VEs that allow both disabled and healthy users to seamlessly communicate or interact through an intuitive, natural, and friendly interface.
机译:本文提出了一种可重用,高度可配置的应用程序框架,该框架将SSVEP刺激无缝集成到标准PC设备上基于桌面的虚拟环境(VE)中。稳态视觉诱发电位(SSVEP)是大脑信号,可提供出色的信息传输率(ITR)只需很少的培训即可在脑机接口(BCI)系统中使用。在VE中生成SSVEP刺激可以更轻松地实现激励训练范式,并可以对现实应用进行更真实的模拟。在三个场景(巴顿,激流回旋和公寓)中对七个健康受试者的脑电图测量表明,移动和静态软件生成的SSVEP刺激闪烁频率高达29 Hz,被证明适合引发SSVEP。该研究方向可能会导致沉浸式虚拟现实的大大改进,使残障和健康用户都可以通过直观,自然,友好的界面无缝地交流或交互。

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  • 来源
    《Presence》 |2010年第1期|P.25-34|共10页
  • 作者单位

    Institute for Knowledge Discovery BCI Lab Graz University of Technology Graz, Austria;

    rnInstitute for Knowledge Discovery BCI Lab Graz University of Technology Graz, Austria;

    rnInstitute for Computer Graphics and Vision Graz University of Technology Graz, Austria;

    rnInstitute for Knowledge Discovery BCI Lab Graz University of Technology Graz, Austria;

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  • 正文语种 eng
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  • 入库时间 2022-08-18 00:39:52

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