基于嵌入式睡意检测的脑电图信号

P. K. Stanley, T. Jaya Prahash, S. Sibin Lal, P. V. Daniel
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引用次数: 7

摘要

提出了一种基于物理无线脑电图的睡意检测系统。驾驶员的睡意是交通事故的主要原因之一,睡意检测器可以很容易地预防交通事故。这种脑电图传感器系统监测人类的认知状态,并在司机昏昏欲睡时向他提供生物反馈。该系统检测驾驶员的大脑活动表现的波动,并调节脑电图记录。该系统的缺点是无法检测驾驶员的闭眼状态,准确性较差,并且检测睡意的反应时间不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedded based drowsiness detection using EEG signals
This paper presentsa 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.
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