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Embedded based Drowsiness Detection using EEG Signals

机译:基于eEG信号的基于杂乱的嗜睡检测

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摘要

This paper presents a physical wireless Electroencephalogram (EEG) based EEG sensor system for detecting drowsiness. Drowsiness of the driver being one of the major reasons for road accidents a drowsiness detector can prevent the road accidents with ease. This EEG sensor system monitors the human cognitive state and provides a biofeedback to the driver while he is drowsy. This system detects the fluctuation in driver's performance with respect to their brain activity and modulates the EEG recording. The drawback of this system is its inability to detect the driver's eye closure, poor accuracy and it's insufficient reaction time to detect the drowsiness.
机译:本文提出了一种基于物理无线脑电图(EEG)的EEG传感器系统,用于检测嗜睡。驾驶员的嗜睡是道路事故的主要原因之一,嗜睡探测器可以防止道路事故轻松。该EEG传感器系统监视人类认知状态,并在他昏昏欲睡时向驾驶员提供生物反馈。该系统检测到驾驶员性能的波动相对于其大脑活动,并调制EEG录制。该系统的缺点是它无法检测驾驶员的眼睛闭合,差的准确性差,并且不足以检测嗜睡的反应时间。

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