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基于EEG的驾驶疲劳检测的双域融合图形卷积网络

Hui Xiong1,2, Shuaiqi Chang1,2, Jinzhen Liu1,2

  • 1School of Control Science and Engineering, Tiangong University, Tianjin, China.

The European journal of neuroscience
|November 18, 2025
PubMed
概括

一个新的双域融合图卷积网络 (DDFGCN) 模型通过分析大脑拓学,通过使用脑电图 (EEG) 改进了驾驶疲劳检测. 这种先进的方法通过更准确的疲劳状态预测,提高了道路安全.

关键词:
驾驶疲劳检测 驾驶疲劳检测双域融合是双领域的融合.电脑电图 (EEG) 是一种电脑电图.图形卷积网络的图形卷积网络.

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