Facial expression recognition for detecting human aggression

Authors:
Ewa Piątkowska;Jerzy Martyna
Affiliations:
Institute of Applied Computer Science, Jagiellonian University, Cracow, Poland;Institute of Computer Science, Faculty of Mathematics and Computer Science, Jagiellonian University, Cracow, Poland
Venue:
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
Year:
2012

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Abstract

This paper presents a system for facial expression recognition which is designed to detect spontaneous emotions. The goal was to detect human aggression. Using a face detection algorithm, a representation of the human face was created. Then, the face texture was encoded with Gabor filter and Local Binary Pattern (LBP) operator. These techniques were used to find the feature set in emotion recognition. As a classifier, a Support Vector Machine (SVM) was applied. The system constructed was tested with spontaneous emotions for aggression detection. The numerical results indicate that the presented classifier achieved an 85% correctness recognition coefficient.