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

机译:人机响应模式对基于EEG和EOG的促进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:快速准确地检测驱动器疲劳是提高交通安全的重要意义。在目前的工作中,我们提出了人机响应模式(MRM)来缓解长期驾驶造成的驾驶员疲劳。在本文中,可以有效地反映大脑活动信息的复杂脑网络的特性用于检测随着时间的推移驱动疲劳的变化。结合传统的眼球运动特性和主观调查问卷(SQ),综合分析了疲劳特征的变化。结果表明,使用MRM可以有效地延迟驱动疲劳。此外,响应设备的成本和实用性低,因此在未来的实际驾驶情况下使用它将是实际的。

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