A Survey on Various Deep Learning Algorithms for an Efficient Facial Expression Recognition System

Abstract

Facial Expression (FE) encompasses information concerning the emotional together with the physical state of a human. In the last few years, FE Recognition (FER) has turned out to be a propitious research field. FER is the chief processing technique for non-verbal intentions, and also it is a significant and propitious computer vision together with the artificial intelligence field. As a novel machine learning theory, Deep Learning (DL) not only highlights the depth of the learning model but also emphasizes the significance of Feature Learning (FL) for the network model, and it has made several research achievements in FER. Here, the present research states are examined typically from the latest FE extraction algorithm as well as the FER centered on DL. The research on classifiers gathered from recent papers discloses a more powerful as well as reliable comprehending of the peculiar traits of classifiers for research fellows. At the ending of the survey, few problems in addition to chances that are required to be tackled in the upcoming future are presented.