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Updated: Jun 7, 2025

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots
11:01

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

Published on: November 24, 2015

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简短的SSVEP数据扩展通过基于新型生成对抗网络的框架.

Yudong Pan1, Ning Li1, Yangsong Zhang1,2,3

  • 1School of Computer Science and Technology, Laboratory for Brain Science and Medical Artificial Intelligence, Southwest University of Science and Technology, Mianyang, 621010 China.

Cognitive neurodynamics
|November 18, 2024
PubMed
概括

这项研究介绍了TEGAN,一个生成对抗网络 (GAN),它扩展短静态视觉唤起潜力 (SSVEP) 信号,以提高脑计算机接口 (BCI) 性能. TEGAN通过减少校准时间和成本来增强BCI系统.

关键词:
大脑计算机接口 (BCI)电脑电图 (EEG) 是一种电脑电图.生成性对抗性网络 (GAN) 是一种对抗性网络.稳定状态视觉唤起潜力 (SSVEP)

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