An Automatic Multilevel Facial Expression Recognition System

Year 2018, Volume: 22 Issue: 1, 160 - 165, 16.03.2018

Elena Battını Sönmez

https://doi.org/10.19113/sdufbed.50007

Cited By: 3

Abstract

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.

Keywords

Expression recognition, Affective computing; Sparse representation based classifier

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