Reconocimiento de Emociones Mediante Región de Ojos Utilizando Características Texturales, lbp y hog

Abstract

Our objective is to develop a robust emotion recognition system based on facial expressions, with a particular emphasis on two key regions: the eyes and the mouth. This paper presents a comprehensive analysis of emotion recognition achieved through the examination of various facial regions. Facial expressions serve as invaluable indicators of human emotions, with the eyes and mouth being particularly expressive areas. By focusing on these regions, we aim to accurately capture the nuances of emotional states.

Our experimental methodology involved employing various classification techniques to assess performance across different models. Among these, SVM exhibited exceptional performance, boasting an impressive accuracy rate of 99.2 %. This outstanding result surpassed the performance of all other methods examined in our study. Through meticu- lous examination and experimentation, we explore the effectiveness of different facial regions in conveying emotions. Our analysis encompasses two datasets and evaluation methodologies to ensure a comprehensive understanding of emotion recognition capabilities.