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An Automatic Multilevel Facial Expression Recognition System

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dc.creator BATTINI SÖNMEZ, Elena
dc.date 2018-03-16T00:00:00Z
dc.date.accessioned 2019-07-09T12:00:31Z
dc.date.available 2019-07-09T12:00:31Z
dc.identifier http://dergipark.org.tr/sdufenbed/issue/37055/425686
dc.identifier 10.19113/sdufbed.50007
dc.identifier.uri http://acikerisim.sdu.edu.tr/xmlui/handle/123456789/46779
dc.description Facial expression is one of the most natural way of human beings to communicate his-her internal feeling, to stress his-her words, to agree or disagree with the interlocutor, to regulate interaction with the environment and nearby people. This paper challenges the classification experiment run by human beings on the ADFES-BIV database, which is a recently introduced collection of videos expressing low, middle, and high intensity emotions. The proposed automatic system uses the Sparse Representation based Classifier and reaches the top performance of 80 % by considering the temporal information intrinsically present in the videos.
dc.format application/pdf
dc.publisher Süleyman Demirel University
dc.publisher Süleyman Demirel Üniversitesi
dc.relation http://dergipark.org.tr/download/article-file/475630
dc.source Volume: 22, Issue: 1 160-165 en-US
dc.source 1308-6529
dc.subject Expression recognition,Affective computing; Sparse representation based classifier
dc.title An Automatic Multilevel Facial Expression Recognition System en-US
dc.type info:eu-repo/semantics/article


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