Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems

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dc.contributor.author Zilberg, Eugene en_US
dc.contributor.author Burton, David en_US
dc.contributor.author Xu, Zheng Ming en_US
dc.contributor.author Karrar, Murad en_US
dc.contributor.author Lal, Sara en_US
dc.contributor.editor Agbinya, JI; Sevimli, O; Lal, S; Selvadurai, S; Al-Jumaily, A; Li, Y; Reisenfeld, S. en_US
dc.date.accessioned 2010-05-28T09:40:39Z
dc.date.available 2010-05-28T09:40:39Z
dc.date.issued 2008 en_US
dc.identifier 2008002110 en_US
dc.identifier.citation Zilberg Eugene et al. 2008, 'Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems', River Publishers, Denmark, pp. 309-328. en_US
dc.identifier.issn 978-87-92329-00-4 en_US
dc.identifier.other B1 en_US
dc.identifier.uri http://hdl.handle.net/10453/8106
dc.description.abstract Application of piezofilm movement sensors integrated into the car seat, seat belt and steering wheel was proposed for development of a noninvasive and hybrid systems for detecting driver drowsiness. A car simulator study was designed to collect physiological data for validation of this technology. Methodology for analysis of physiological data, independent assessment of driver drowsiness and development of drowsiness detection algorithm by means of sequential fitting and selection of regression models is presented. Statistical analysis shows that during the episodes of transitions to dangerous levels of drowsiness movement variations recorded by the seat sensors are decreasing. en_US
dc.language en_US
dc.publisher River Publishers en_US
dc.relation.isbasedon en_US
dc.title Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems en_US
dc.parent Advances in Broadband Communication and Networks en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Denmark en_US
dc.identifier.startpage 309 en_US
dc.identifier.endpage 328 en_US
dc.cauo.name SCI.Medical and Molecular Biosciences en_US
dc.conference Verified OK en_US
dc.for 170107 en_US
dc.personcode 999506 en_US
dc.personcode 0000017435 en_US
dc.personcode 0000045883 en_US
dc.personcode 10201972 en_US
dc.personcode 010322 en_US
dc.percentage 60 en_US
dc.classification.name Industrial and Organisational Psychology en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.staffid 010322 en_US


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