A facial component-based system for emotion classification

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dc.WoS.categoriesComputer Science, Artificial Intelligence; Engineering, Electrical & Electronicen_US
dc.authorid0000-0003-0090-984Xen_US
dc.contributor.authorBattini Sönmez, Elena
dc.contributor.authorAlbayrak, Songül
dc.date.accessioned2020-12-17T08:33:25Z
dc.date.available2020-12-17T08:33:25Z
dc.date.issued2016
dc.description.abstractSmart environments with ubiquitous computers are the next generation of information technology, which requires improved human computer interfaces. That is, the computer of the future must be aware of the people in its environment; it must know their identities and must understand their moods. Despite the great effort made in the past decades, the development of a system capable of automatic facial emotion recognition is still rather difficult. In this paper, we challenge the benchmark algorithm on emotion classification of the Extended Cohn-Kanade (CK+) database, and we present a facial component-based system for emotion classification, which beats the given benchmark performance: using a 2D emotional face, we searched for highly discriminative areas, we classified them independently, and we fused all results together to allow for facial emotion recognition. The use of the sparse-representation-based classifier allows for the automatic selection of the two most successful blocks and obtains the best results by beating the given benchmark performance by six percentage points. Finally, using the most promising algorithms for facial analysis, we created equivalent facial component-based systems and we made a fair comparison among them.en_US
dc.fullTextLevelFull Texten_US
dc.identifier.doi10.3906/elk-1401-18
dc.identifier.issn1303-6203
dc.identifier.issn1300-0632
dc.identifier.scopus2-s2.0-84963830435en_US
dc.identifier.trdizinid245320en_US
dc.identifier.urihttps://hdl.handle.net/11411/2895
dc.identifier.urihttps://doi.org/10.3906/elk-1401-18
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/245320en_US
dc.identifier.wosWOS:000374121500069en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.issue3en_US
dc.language.isoenen_US
dc.nationalInternationalen_US
dc.numberofauthors2en_US
dc.pages1663-1673en_US
dc.publisherTubitak Scientific & Technical Research Council Turkeyen_US
dc.relation.ispartofTurkish Journal Of Electrical Engineering And Computer Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectFacial expression recognitionen_US
dc.subjectaffective computingen_US
dc.subjectblock-based techniqueen_US
dc.subjectsparse representation-based classifieren_US
dc.subjectlocal binary patternen_US
dc.titleA facial component-based system for emotion classification
dc.typeArticle
dc.volume24en_US

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