Performance Evaluation of Machine Learning for Recognizing Human Facial Emotions

Related Work

There are many attempts by researchers to classify human emotions. However, high accuracy is still the main issue when classifying human emotions. The first system on human emotions has been developed is the Facial Action Coding System (FACS) created by (Paul Ekman et al. 1994). This system based on human observations and manual labeling process. FACS can serve many researchers, particularly those with a psychological background and lack of concentration. It also extracts many facial features using action coding. However, relying on action coding technique may not identify the faces’ expression in a more precise manner due to the traditional coding techniques. For that reason, new local paramedical representations of movements have been proposed by (Black & Yacoob, 1997) to transmit the information to an appropriate classifier. Due to the important procession time of such technique, users are not able to identify the huge face’s features.