Facial emotion analysis using deep convolution neural network

Abstract

Human emotions are mental states of feelings that arise spontaneously rather than through conscious effort and are accompanied by physiological changes in facial muscles which implies expressions on face. Some of critical emotions are happy, sad, anger, disgust, fear, surprise etc. Facial expressions play a key role in non-verbal communication which appears due to internal feelings of a person that reflects on the faces. In order to computer modeling of human's emotion, a plenty of research has been accomplished. But still it is far behind from human vision system. In this paper, we are providing better approach to predict human emotions (Frames by Frames) using deep Convolution Neural Network (CNN) and how emotion intensity changes on a face from low level to high level of emotion. In this algorithm, FERC-2013 database has been applied for training. The assessment through the proposed experiment confers quite good result and obtained accuracy may give encouragement to the researchers for future model of computer based emotion recognition system.