一种利用大脑连接检测疲劳和困倦的新系统:基于脑电图的司机疲劳、警觉和困倦估计

Azzi Cynthia, Ghantous Patricia, Jrad Nisrine, Hassan Mahmoud, Rihana Sandy
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引用次数: 6

摘要

在高速公路上死亡的主要原因是驾驶时的疲劳和困倦。在本文中,我们提出了一种基于脑电图记录的驾驶员大脑活动来检测清醒和困倦状态之间转换的方法。我们的新方法使用相位锁定值(Phase Locking Value, PLV)来提取与嗜睡直接相关的数据。PLV测量神经元功能的变化。结果表明了PLV的性能及其对现有系统性能的改进能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new system for detecting fatigue and sleepiness using brain connectivity: EEG based estimation of fatigue, vigilance and sleepiness for drivers
The main causes of highways mortality are fatigue and sleepiness while driving. In this paper, we propose a method to detect the transition between wakefulness and sleepiness states based on driver's brain activity recorded through Electroencephalography (EEG). Our new method uses the Phase Locking Value (PLV)to extract data that are directly related and correlated to the sleepiness. PLV measures changes in the neuronal function. Results show the performance of PLV and its ability to improve the performance of already existing systems.
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