Facial Emotion Recognition with a Neural Network Approach

Abstract

Behaviors, actions, poses, facial expressions and speech; these are consid- ered as channels that convey human emotions. Extensive research has being carried out to explore the relationships between these channels and emo- tions. This paper proposes a system which automatically recognizes the emotion represented on a face. Thus a neural network based solution com- bined with image processing is used in classifying the universal emotions: Happiness, Sadness, Anger, Disgust, Surprise and Fear. Colored frontal face images are given as input to the system. After the face is detected, image processing based feature point extraction method is used to extract a set of selected feature points. Finally, a set of values obtained after processing those extracted feature points are given as input to the neural network to recognize the emotion contained.