An Automatic Multilevel Facial Expression Recognition System

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Tarih

2018

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Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Facial expression is one of the most natural way of human beings tocommunicate his-her internal feeling, to stress his-her words, to agree or disagreewith the interlocutor, to regulate interaction with the environment and nearbypeople. This paper challenges the classification experiment run by human beingson the ADFES-BIV database, which is a recently introduced collection of videosexpressing low, middle, and high intensity emotions. The proposed automaticsystem uses the Sparse Representation based Classifier and reaches the topperformance of 80 % by considering the temporal information intrinsically presentin the videos.

Açıklama

Anahtar Kelimeler

Kaynak

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi

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Scopus Q Değeri

Cilt

22

Sayı

1

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