Tree Based Neural Network Design for Emotion Identification Analysis

Abstract

Emotion identification analysis became popular research area nowadays. It can be used in many areas such as physiology, education, murder squad, tendency to crime to get a clue about mental signals of a person. Facial expressions are kind of communication channels that carry sense signals. Therefore, they are as important as speech and body movement. Sometimes they are much more meaningful because of their naturalness. That is why it is appreciated to work on automatically recognition of facial expressions. This paper proposes an approach to recognize facial expressions by using neural network. Using one unit neural network is enough to recognize the facial expressions but using a tree structure neural network increases the accuracy of the results and the performance of the testing set. In this study, it is proposed a tree network architecture which yields better recognition performance.