Desarrollo de sistema para la detección de emociones utilizando visión artificial e inteligencia artificial aplicado a entornos educativos.

Abstract

Initially this project tries to focus on the emotional recognition of people through their facial expressions or special features on their face. The first stage of the project was one of the most important because the software is capable of detecting the face of any person through an external image or camera. This face detection was carried out by means of a face recognition algorithm. In the second stage, the database to be used is identified. If possible, one that handles 400 to 700 sample images for each emotion for algorithm training. In the third stage, the algorithm is trained to identify the essential parts of the person's face in order to determine the state of mind that this person shows, which can be differentiated between six basic initial states of mind. In the last stage, an easy-to-use interface is implemented that contains all the relevant information on the processes that are carried out in data collection and sampling.