{"title":"A neural-network-based system for monitoring driver fatigue","authors":"S. Ribaric, Juraj Lovrenčić, N. Pavesic","doi":"10.1109/MELCON.2010.5475993","DOIUrl":null,"url":null,"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.","PeriodicalId":256057,"journal":{"name":"Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference","volume":"68 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Melecon 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2010.5475993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.