Facial Expression Detection using Convolutional Neural Networks

Abstract

The world of artificial intelligence advances at great speed. The greatest example of this is neural networks, which are revolutionizing the system of automation and data extraction. Neural networks can be trained to perform different classifying tasks. This project focuses on the recognition of 7 facial expressions by applying architectures of convolutional neural networks. The objective of this project will consist of a series of steps: First, the theoretical study of convolutional neural networks and their parameters, in such a way that the accuracy of the system can be optimized by carrying out training processes with a database. Once we have obtained the best architecture for that purpose, we will proceed to perform several manual tests on that system to verify its operation according to the accuracy it offers us. Finally, thanks to a database provided, we will carry out a study of the facial expressions of characters of the political paradigm, in such a way that it can be projected to a real application.