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Multimodal person recognition for human-vehicle interaction

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dc.contributor.coauthorErcil, A
dc.contributor.coauthorErdogan, H
dc.contributor.coauthorAbut, H
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentDepartment of Electrical and Electronics Engineering
dc.contributor.kuauthorErzin, Engin
dc.contributor.kuauthorYemez, Yücel
dc.contributor.kuauthorTekalp, Ahmet Murat
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileFaculty Member
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.otherDepartment of Electrical and Electronics Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.yokid34503
dc.contributor.yokid107907
dc.contributor.yokid26207
dc.date.accessioned2024-11-10T00:06:55Z
dc.date.issued2006
dc.description.abstractNext-generation vehicles will undoubtedly feature biometric person recognition as part of an effort to improve the driving experience. Today's technology prevents such systems from operating satisfactorily under adverse conditions. A proposed framework for achieving person recognition successfully combines different biometric modalities, borne out in two case studies.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue2
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.volume13
dc.identifier.doi10.1109/MMUL.2006.37
dc.identifier.eissn1941-0166
dc.identifier.issn1070-986X
dc.identifier.quartileQ2
dc.identifier.scopus2-s2.0-33646007315
dc.identifier.urihttp://dx.doi.org/10.1109/MMUL.2006.37
dc.identifier.urihttps://hdl.handle.net/20.500.14288/16671
dc.identifier.wos236462700005
dc.keywordsFace-recognition
dc.keywordsSpeech
dc.keywordsInformation
dc.keywordsFusion
dc.keywordsNoise
dc.languageEnglish
dc.publisherIEEE Computer Society
dc.sourceIEEE Multimedia
dc.subjectComputer science
dc.subjectHardware architecture
dc.subjectinformation systems
dc.subjectEngineering
dc.subjectSoftware engineering
dc.subjectTheory methods
dc.titleMultimodal person recognition for human-vehicle interaction
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.authorid0000-0002-2715-2368
local.contributor.authorid0000-0002-7515-3138
local.contributor.authorid0000-0003-1465-8121
local.contributor.kuauthorErzin, Engin
local.contributor.kuauthorYemez, Yücel
local.contributor.kuauthorTekalp, Ahmet Murat
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication21598063-a7c5-420d-91ba-0cc9b2db0ea0
relation.isOrgUnitOfPublication.latestForDiscovery21598063-a7c5-420d-91ba-0cc9b2db0ea0

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