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

DSpace/Manakin Repository

Search OPUS


Advanced Search

Browse

My Account

Show simple item record

dc.contributor.author Zilberg, E
dc.contributor.author Burton, D
dc.contributor.author Xu, Z
dc.contributor.author Karrar, M
dc.contributor.author Lal, S
dc.contributor.editor Agbinya, JI
dc.contributor.editor Sevimli, O
dc.contributor.editor Lal, S
dc.contributor.editor Selvadurai, S
dc.contributor.editor Al-Jumaily, A
dc.contributor.editor Li, Y
dc.contributor.editor Reisenfeld, S
dc.date.accessioned 2010-05-28T09:40:39Z
dc.date.issued 2008-01
dc.identifier.citation Advances in Broadband Communication and Networks, 2008, 1, pp. 309 - 328
dc.identifier.isbn 978-87-92329-00-4
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.
dc.publisher River Publishers
dc.title Methodology and initial analysis results for development of non-invasive and hybrid driver drowsiness detection systems
dc.type Chapter
dc.parent Advances in Broadband Communication and Networks
dc.journal.number en_US
dc.publocation Denmark en_US
dc.publocation Denmark
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 170205 Neurocognitive Patterns and Neural Networks
dc.for 170107 Industrial and Organisational Psychology
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.edition 1
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords en_US
dc.staffid 010322 en_US
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Faculty of Science/School of Medical and Molecular Sciences


Files in this item

This item appears in the following Collection(s)

Show simple item record