Análisis y propuesta de selección de rasgos para el Reconocimiento de Expresiones Faciales

• Main Authors: Odín Castañeda Cao, María Matilde García Lorenzo
• Format: Article
• Language: Spanish
• Published: Universidad de Ciencias Informáticas 2015-01-01
• Series: Revista Cubana de Ciencias Informáticas
• Subjects: emotion classification; facial expression recognition; features selection
• Online Access: https://rcci.uci.cu/index.php?journal=rcci&page=article&op=view&path[]=1006&path[]=308

In this paper was presented a study of existing works on the subject of Face Expression Recognition, specifically in the sub problem of features selection for the classification. The line of studies of P. Ekman was approached as one of the most accepted and developed, as well as some alternative proposals. Both positive contributions and main drawbacks were taken into account from the different researched solutions, and finally a proposal of a system for emotions recognition was presented. An experiment was designed to test the efficiency of the proposed set of patterns with positive results obtained.