Analysis of Conscious Alert System from EEG data using LabView

C. Babu, R. H. Kumar, P. Sampath, P. Bhuvaneshwari, M. Dharanya
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引用次数: 2

Abstract

The major causes of road accidents are driver drowsiness and driver inattention. There is a need for a system that can alert the driver on time, whenever he is drowsy or inattentive. This paper presents an analysis of Conscious Alert System (CAS) to find out classification in alert or non-alert system using Electroencephalogram (EEG) data. Monitoring and analyzing driver behavior are needed for safe driving. In this work, we aim to develop a system that can detect alert system based on the False Negative and False Positive using LabVIEW.
利用LabView分析基于脑电数据的有意识警报系统
道路交通事故的主要原因是司机嗜睡和注意力不集中。我们需要一种系统,能够在司机昏昏欲睡或注意力不集中时及时提醒他。本文通过对有意识警报系统(CAS)的分析,利用脑电图(EEG)数据,找出警报和非警报系统的分类。安全驾驶需要对驾驶员行为进行监控和分析。在本工作中,我们的目标是利用LabVIEW开发一个基于假阴性和假阳性的警报检测系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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