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一个基于EEG的虚拟语音数据库,用于比较范式设计.

Edgar Aguilera-Rodríguez1, Alma Cuevas-Romero1, Santiago Mendoza-Franco1

  • 1Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64849, México.

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概括

这项研究介绍了一种基于视频游戏的范式,以加强对脑计算机接口 (BCI) 的参与. 这种新方法旨在减少疲劳,并提高注意力,以改善BCI的想象语音信号质量.

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科学领域:

  • 神经科学是一个神经科学.
  • 人与计算机的交互
  • 认知科学 认知科学

背景情况:

  • 大脑-计算机接口 (BCI) 在计算方面正在进步,但往往忽视了疲劳和注意力等人类因素.
  • 这些因素显著影响大脑信号调制,影响BCI性能.
  • 现有的BCI范式可能无法充分考虑用户参与和认知状态.

研究的目的:

  • 提出和评估基于视频游戏的模式,用于想象语音BCI.
  • 提高用户参与度,减少疲劳,提高BCI任务中的注意力.
  • 研究以人为中心的设计对想象语音信号质量的影响.

主要方法:

  • 招募了15名志愿者来比较两个想象的语言范式:一个传统的抽象场景和一个新的视频游戏范式.
  • 收集并分析了在两种条件下唤起的想象语音信号.
  • 专注于由用户参与和认知负载调节的大脑信号的质量.

主要成果:

  • 这项研究提供了一个数据集,比较传统BCI范式的想象语音信号与以人为因素为基础的视频游戏范式.
  • 研究了两种范式之间的信号质量差异,突出了参与的影响.
  • 初步发现表明,通过视频游戏方法,信号质量可能会得到改善.

结论:

  • 人类因素,如参与和注意力,对于优化大脑-计算机接口性能至关重要.
  • 基于视频游戏的范式显示了在想象语音BCI中改善用户体验和数据质量的前景.
  • 数据集可以为开发更有效的BCI解码模型和个性化的BCI设计提供信息.