Automatic Emotional Expression Analysis from Eye Area

Basit Öğe Kaydı
dc.contributor.authorAkkoç, Betül
dc.contributor.authorArslan, Ahmet
dc.date.accessioned2020-03-26T19:01:03Z
dc.date.available2020-03-26T19:01:03Z
dc.date.issued2015
dc.departmentSelçuk Üniversitesien_US
dc.description7th International Conference on Machine Vision (ICMV) -- NOV 19-21, 2014 -- Milan, ITALYen_US
dc.description.abstractEyes play an important role in expressing emotions in nonverbal communication. In the present study, emotional expression classification was performed based on the features that were automatically extracted from the eye area. First, the face area and the eye area were automatically extracted from the captured image. Afterwards, the parameters to be used for the analysis through discrete wavelet transformation were obtained from the eye area. Using these parameters, emotional expression analysis was performed through artificial intelligence techniques. As the result of the experimental studies, 6 universal emotions consisting of expressions of happiness, sadness, surprise, disgust, anger and fear were classified at a success rate of 84% using artificial neural networks.en_US
dc.description.sponsorshipSci & Engn Inst, Sichuan Univ, Singapore Inst Elect, Halmstad Univen_US
dc.identifier.doi10.1117/12.2180875en_US
dc.identifier.isbn978-1-62841-560-5
dc.identifier.issn0277-786Xen_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1117/12.2180875
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31881
dc.identifier.volume9445en_US
dc.identifier.wosWOS:000350961700038en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPIE-INT SOC OPTICAL ENGINEERINGen_US
dc.relation.ispartofSEVENTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2014)en_US
dc.relation.ispartofseriesProceedings of SPIE
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectartificial intelligenceen_US
dc.subjectemotional expression classificationen_US
dc.subjectimage processingen_US
dc.subjectdiscrete wavelet transformationen_US
dc.titleAutomatic Emotional Expression Analysis from Eye Areaen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu