Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/1950
DC FieldValueLanguage
dc.contributor.authorCowie, Roddy I D-
dc.contributor.authorDouglas-Cowie, Ellen-
dc.contributor.authorTsapatsoulis, Nicolas-
dc.contributor.authorVotsis, George-
dc.contributor.authorTaylor, John G.-
dc.contributor.authorKollias, Stefanos D.-
dc.contributor.authorFellenz, Winfried A.-
dc.contributor.otherΤσαπατσούλης, Νικόλας-
dc.date.accessioned2009-05-26T12:36:11Zen
dc.date.accessioned2013-05-16T13:11:07Z-
dc.date.accessioned2015-12-02T09:40:57Z-
dc.date.available2009-05-26T12:36:11Zen
dc.date.available2013-05-16T13:11:07Z-
dc.date.available2015-12-02T09:40:57Z-
dc.date.issued2001-01-
dc.identifier.citationSignal Processing Magazine IEEE, 2001, vol. 18, no. 1, pp. 32-80en_US
dc.identifier.issn10535888-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/1950-
dc.description.abstractTwo channels have been distinguished in human interaction: one transmits explicit messages, which may be about anything or nothing; the other transmits implicit messages about the speakers themselves. Both linguistics and technology have invested enormous efforts in understanding the first, explicit channel, but the second is not as well understood. Understanding the other party's emotions is one of the key tasks associated with the second, implicit channel. To tackle that task, signal processing and analysis techniques have to be developed, while, at the same time, consolidating psychological and linguistic analyses of emotion. This article examines basic issues in those areas. It is motivated by the PKYSTA project, in which we aim to develop a hybrid system capable of using information from faces and voices to recognize people's emotions.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofIEEE Signal Processing Magazineen_US
dc.rights© IEEEen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectHuman-Computer interactionen_US
dc.titleEmotion Recognition in Human-Computer Interactionen_US
dc.typeArticleen_US
dc.collaborationNational Technical University Of Athensen_US
dc.subject.categorySOCIAL SCIENCESen_US
dc.journalsSubscriptionen_US
dc.countryGreeceen_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1109/79.911197en_US
dc.dept.handle123456789/54en
dc.relation.issue1en_US
dc.relation.volume18en_US
cut.common.academicyear2001-2002en_US
dc.identifier.spage32en_US
dc.identifier.epage80en_US
item.openairetypearticle-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.languageiso639-1en-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Communication and Marketing-
crisitem.author.facultyFaculty of Communication and Media Studies-
crisitem.author.orcid0000-0002-6739-8602-
crisitem.author.parentorgFaculty of Communication and Media Studies-
crisitem.journal.journalissn1558-2361-
crisitem.journal.publisherIEEE-
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