相关实验视频

Updated: May 10, 2026

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

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在快速校准场景中,利用低频组件增强高频稳定状态视觉唤起潜在的基于脑计算机接口的低频组件

Yixin Chen1,2, Ren Xu3, Andrew Ty Lau4

  • 1East China University of Science and Technology, Shanghai, 200237 China.

Cognitive neurodynamics
|August 5, 2025
PubMed
概括

这项研究引入了一种转移学习方法,以提高高频稳定状态视觉唤起的潜在脑机接口 (SSVEP-BCI) 性能. 利用低频数据显著提高了在最小校准时的准确性.

关键词:
大脑计算机接口 (BCI)高频的高频频道稳定状态视觉唤起潜力 (SSVEP)转移学习转移学习

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