Real-Time Facial Emotion Recognition

Abstract

An important aspect of human beings is their ability to display emotions. Emotions form the basis of intimate means of communications between one another. Recognition of emotions displayed via facial expression with the help of a computer could prove to be a very powerful too. In recent years, an increased number of intelligent systems are using facial emotion recognition to improve human interaction. These systems cause constant changes in their operation based on the emotion of humans. In this paper, we propose an architecture based on the convolutional neural network (CNN) for the facial recognition of emotions. In the implementation, we use the Facial Expression Recognition 2013 dataset (FER2013). Through behavioral analysis, we show how different emotions seem to be sensitive to different parts of the face.