A Comparative Study on Facial Emotion Recognition using Deep Neural Networks

Emotions are strongly associated with individuals’ mood and personality. In the field of Human Computer Interaction, human face plays a very vital role. According to studies made by researchers’ majority of the information conveyed through facial expressions than verbal communication. In day-to-day life, human expresses different types of feelings such as Happiness, Anger, Sadness, Fear, Disgust and Surprise which is considered as “Universal Emotions”. It has always been difficult for computers to recognize human emotions. Thus, a substantial effort was made by the researchers to build the Facial Emotion Recognition system and which was considered as the best tool for recognizing emotions through facial expressions. In this paper, a detailed study on different methods that can be used in facial emotion recognition is done. For this study, the literature is collected from various reputable research published. This survey paper is based on the current approaches to face detection and feature extraction techniques for FER and also presented the real-time applications