Evaluation of emotional state of a person based on facial expression

Abstract

In this paper an overview about the methods and approaches used in the past to achieve facial expression recognition as well as an approach that involves the use of neural networks that proves to be very efficient are presented. The possibility to achieve up to 70% accuracy even without extraction of facial features is substantiated. Achievements related to the latest improvements in the field of robotic emotional intelligence are summarized.