Emotional Recognition from Facial Expression Analysis Using Bezier Curve Fitting

摘要

Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most expressive way to display the human's emotion is through facial expression analysis. This paper presents and implements an automatic extraction and recognition method of facial expression and emotion from still image. To evaluate the performance of the proposed algorithm, we assess the ratio of success with emotionally expressive facial image database. Experimental results shows average 66% of success to analyze and recognize the facial expression and emotion. The obtained result indicates the good performance and enough to applicable to mobile environments.