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Embedded system based driver drowsiness detection system

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dc.citedby0
dc.contributor.authorIslam S.Z.en_US
dc.contributor.authorMohd Ali M.A.en_US
dc.contributor.authorBin Jidin R.en_US
dc.contributor.authorIslam S.Z.en_US
dc.contributor.authorid55432804400en_US
dc.contributor.authorid6507416666en_US
dc.contributor.authorid6508169028en_US
dc.contributor.authorid35746021600en_US
dc.date.accessioned2023-12-29T07:51:19Z
dc.date.available2023-12-29T07:51:19Z
dc.date.issued2010
dc.description.abstractThis paper presents a System-on-Chip (SoC) visual-based driver drowsiness detection system. The system is able to promptly detect the onset of driver drowsiness by monitoring in real-time the accumulated driver's PERCLOS, i.e. proportion of time driver's eyes are closed in a 1-minute interval through non-intrusive camera(s). FPGA hardware is used as its processing platform along with Viola-Jones object detection algorithm. Viola-Jones algorithm uses Haar-like features along with AdaBoost algorithm to achieve good detection performance. � 2010 Copyright SPIE - The International Society for Optical Engineering.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo754614
dc.identifier.doi10.1117/12.856005
dc.identifier.scopus2-s2.0-77949431452
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-77949431452&doi=10.1117%2f12.856005&partnerID=40&md5=6abbcf68a89afb654e43acb2ed1316c7
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30683
dc.identifier.volume7546
dc.sourceScopus
dc.sourcetitleProceedings of SPIE - The International Society for Optical Engineering
dc.subjectAdaptive boosting
dc.subjectApplication specific integrated circuits
dc.subjectImage processing
dc.subjectImaging systems
dc.subjectProgrammable logic controllers
dc.subjectAdaBoost algorithm
dc.subjectDetection performance
dc.subjectDriver drowsiness
dc.subjectHaar-like features
dc.subjectNon-intrusive
dc.subjectObject detection algorithms
dc.subjectPERCLOS
dc.subjectProcessing platform
dc.subjectSystem-On-Chip
dc.subjectDigital image storage
dc.titleEmbedded system based driver drowsiness detection systemen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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