A neural-network-based system for monitoring driver fatigue

S. Ribaric, Juraj Lovrenčić, N. Pavesic
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引用次数: 18

Abstract

A driver's lack of attention due to fatigue or sleepiness is one of the major reasons for traffic accidents. As a result, over the past ten years there has been an increased interest in the methods, techniques and technologies for developing driver-fatigue monitoring systems. In this paper we describe a prototype of a neural-network-based system for monitoring driver fatigue. The system consists of a combination of neural-network-based modules for the extraction of visual bio-behavioural features and a knowledge-based decision module. The prototype of the system was tested under laboratory conditions and the results of the experiment are presented.
基于神经网络的驾驶员疲劳监测系统
司机因疲劳或困倦而注意力不集中是造成交通事故的主要原因之一。因此,在过去的十年里,人们对开发驾驶员疲劳监测系统的方法、技术和技术越来越感兴趣。本文描述了一个基于神经网络的驾驶员疲劳监测系统的原型。该系统由基于神经网络的视觉生物行为特征提取模块和基于知识的决策模块组成。在实验室条件下对系统样机进行了测试,并给出了实验结果。
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