Computational Learning Based Facial Emotions Recognition: A Review

Facial Emotion Recognition (FER) is an essential research topic in the science of human-computer interaction. When it comes to successful communication, facial expressions are a powerful way of revealing one's intentions and feelings to others. In the perception of human articulations, facial emotions such as sadness, happiness, anger, disgust, and fear play an important role. Hence, the study of such facial expressions is a fascinating and intriguing topic to investigate. In this review article, we will describe the methods proposed by many researchers in terms of facial expression recognition utilising machine and deep learning models, as well as their contributions and the problems that still exist in this field. In order to draw some conclusions, we have provided our assessment of the various techniques that were given.