Fatigue detection using computer vision

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dc.contributor.author Patel, MN
dc.contributor.author Lal, S
dc.contributor.author Kavanagh, D
dc.contributor.author Rossiter, P
dc.date.accessioned 2012-02-02T11:12:56Z
dc.date.issued 2010-01
dc.identifier.citation International Journal of Electronics and Telecommunications, 2010, 1st, 56 (4), pp. 457 - 461
dc.identifier.issn 0867-6747
dc.identifier.other C5 en_US
dc.identifier.uri http://hdl.handle.net/10453/16746
dc.description.abstract Long duration driving is a significant cause of fatigue related accidents of cars, airplanes, trains and other means of transport. This paper presents a design of a detection system which can be used to detect fatigue in drivers. The system is based on computer vision with main focus on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.
dc.format Scott McWhirter
dc.publisher Polish Academy of Sciences
dc.relation.isbasedon 10.2478/v10177-010-0062-8
dc.title Fatigue detection using computer vision
dc.type Journal Article
dc.parent International Journal of Electronics and Telecommunications
dc.journal.volume 4
dc.journal.volume 56
dc.journal.number 4 en_US
dc.publocation Warsaw, Poland en_US
dc.identifier.startpage 457 en_US
dc.identifier.endpage 461 en_US
dc.cauo.name SCI.Faculty of Science en_US
dc.conference Verified OK en_US
dc.for 0903 Biomedical Engineering
dc.personcode 010322
dc.personcode 104938
dc.personcode 10499604
dc.percentage 100 en_US
dc.classification.name Biomedical Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1st en_US
dc.edition 1st
dc.custom en_US
dc.date.activity en_US
dc.location.activity en_US
dc.description.keywords Face detection, eye blink detection, fatigue, computer vision
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Science
pubs.organisational-group /University of Technology Sydney/Strength - Health Technologies
pubs.organisational-group /University of Technology Sydney/Students
utslib.copyright.status Open Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
pubs.consider-herdc false
utslib.collection.history School of Medical and Molecular Sciences (ID: 341)
utslib.collection.history General (ID: 2)


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