Sönmez, Elena Battını2024-07-182024-07-1820181300-76881308-6529https://doi.org/10.19113/sdufbed.50007https://search.trdizin.gov.tr/yayin/detay/327222https://hdl.handle.net/11411/5544Facial 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.eninfo:eu-repo/semantics/openAccessAn Automatic Multilevel Facial Expression Recognition SystemReview Article10.19113/sdufbed.50007165116032722222