1. Ktisis Cyprus University of Technology
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  3. Κεφάλαια βιβλίων/Book chapters
Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/2998
DC FieldValueLanguage
dc.contributor.authorIoannou, Spirosen
dc.contributor.authorRaouzaiou, Amaryllisen
dc.contributor.authorKarpouzis, Kostasen
dc.contributor.authorPertselakis, Minasen
dc.contributor.authorTsapatsoulis, Nicolasen
dc.contributor.authorKollias, Stefanos D.en
dc.contributor.otherΤσαπατσούλης, Νικόλας-
dc.date.accessioned2009-05-27T10:57:44Zen
dc.date.accessioned2013-05-16T14:08:12Z-
dc.date.accessioned2015-12-02T12:29:53Z-
dc.date.available2009-05-27T10:57:44Zen
dc.date.available2013-05-16T14:08:12Z-
dc.date.available2015-12-02T12:29:53Z-
dc.date.issued2004en
dc.identifier.citationMethods and Applications of Artificial Intelligence, 2004, pp.466-475en
dc.identifier.isbn9783540219378en
dc.identifier.urihttps://hdl.handle.net/20.500.14279/2998-
dc.descriptionThird Hellenic Conference on AI, SETN 2004, Samos, Greece, May 5-8, 2004. Proceedings.en
dc.description.abstractThis paper addresses the problem of emotion recognition in faces through an intelligent neuro- fuzzy system, which is capable of analysing facial features extracted following the MPEG-4 standard and classifying facial images according to the underlying emotional states, following rules derived from expression profiles. Results are presented which illustrate the capability of the developed system to analyse and recognise facial expressions in man-machine interaction applications.en
dc.formatpdfen
dc.language.isoenen
dc.relation.ispartofseriesLecture Notes in Computer Science;en
dc.rights© Springeren
dc.subjectArtificial intelligence--Congressesen
dc.titleAdaptive Rule-Based Facial Expression Recognitionen
dc.typeBook Chapteren
dc.collaborationNational Technical University Of Athens-
dc.countryGreece-
dc.identifier.doi10.1007/978-3-540-24674-9_49en
dc.dept.handle123456789/54en
item.fulltextWith Fulltext-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.openairetypebookPart-
item.languageiso639-1en-
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-
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