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dc.contributor.authorSahayadhas, Arun
dc.contributor.authorSundaraj, Kenneth, Prof. Dr.
dc.contributor.authorMurugappan, M
dc.date.accessioned2014-04-01T08:29:56Z
dc.date.available2014-04-01T08:29:56Z
dc.date.issued2012
dc.identifier.citationIEEE Conference on Sustainable Utilization and Development in Engineering and Technology (STUDENT), 2012, pages 1-6en_US
dc.identifier.isbn978-1-4673-1649-1 (Print)
dc.identifier.issn1985-5753
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33327
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractIn recent years, driver inattention or distraction is one of the major causes for road accidents. If the distracted driver is alerted on time, most of the physical injuries, deaths, and economic losses can be avoided. To find if the driver is distracted, an efficient inattention detection system has to be developed. Towards the same, researchers have measured driver inattention level based on any one of the following four measures: (1) subjective ratings from the driver, (2) vehicle based measures, (3) physiological measures and (4) behavioral measures. In this paper, we aim to review the above measures used to detect driver inattention based on their advantages and limitations. The issues to be considered while developing an efficient inattention detection system are discussed. The inattention detection system should be designed in such a way that it triggers the alert system only when the driver is distracted beyond the acceptable limit.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.subjectBehavioral measuresen_US
dc.subjectDistraction detection systemen_US
dc.subjectInattention detection systemen_US
dc.subjectPhysiological measuresen_US
dc.subjectRoad accidentsen_US
dc.subjectVehicle based measuresen_US
dc.titleDriver inattention detection methods: a reviewen_US
dc.typeWorking Paperen_US
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6408351&queryText%3DDriver+inattention+detection+methods%3A+A+review
dc.identifier.urlhttp://dx.doi.org/10.1109/STUDENT.2012.6408351
dc.contributor.urlarurun@gmail.comen_US
dc.contributor.urlkenneth@unimap.edu.myen_US
dc.contributor.urlmurugappan@unimap.edu.myen_US


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