Proposed architecture of a Fully Integrated Modular Neural Network-based Automatic Facial Emotion Recognition system based on Facial Action Coding System

In this paper we describe the architecture of a fully integrated modular neural network-based automatic facial emotion recognition (FER) system able to recognize emotions based on the Facial Action Code System (FACS). The proposed framework makes use of a neural network to combine the recognition results from different sources, improving the integration of different types of classifiers, in order to provide better facial emotion recognition results. We present the architecture and the implementation details, as well as results and possible improvements that can be brought to the current framework.