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Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG

机译:基于EEG和EOG的人机响应模式对缓解驾驶疲劳的影响研究

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摘要

Rapid and accurate detection of driver fatigue is of great significance to improve traffic safety. In the present work, we propose the man-machine response mode (MRM) to relieve driver fatigue caused by long-term driving. In this paper, the characteristics of the complex brain network, which can effectively reflect brain activity information, were used to detect the change of driving fatigue over time. Combined with the traditional eye movement characteristics and a subjective questionnaire (SQ), the changes in driving fatigue characteristics were comprehensively analyzed. The results show that driving fatigue can be effectively delayed using the MRM. Additionally, the response equipment is low in cost and practical, so it will be practical to use in actual driving situations in the future.
机译:快速准确地检测驾驶员疲劳对于提高交通安全具有重要意义。在当前的工作中,我们提出了人机响应模式(MRM),以减轻长期驾驶引起的驾驶员疲劳。在本文中,复杂的大脑网络的特征可以有效地反映大脑活动信息,被用来检测驾驶疲劳随时间的变化。结合传统的眼动特征和主观问卷(SQ),对驾驶疲劳特征的变化进行了综合分析。结果表明,使用MRM可以有效地延迟驾驶疲劳。另外,响应设备成本低且实用,因此将来在实际驾驶情况下使用将是实用的。

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