Emotion detection from frontal facial image

Abstract

Emotion recognition from facial images is a very active re-search topic in human computer interaction (HCI). In order to detect Emotion from an image I have used frontal view facial images. If computers can understand more of human emotion, we can make better systems to reduce the gap of human computer interaction .To handle the emotion recognition problem from arbitrary view facial images. The facial region and others part of the body have been segmented from the complex environment based on skin color model. Thus, in this paper I showed some differences between different color models that are used to implement the system and which color model can be used where. Another aspect is to extract facial parts from the face. And for that I have used Viola - Jones algorithm to detect the eye and lips region from a face and then by the help of neural network I have detected emotion from those features. From the positioning of mouth and eyes I tried to detect emotion of a face. In this research I will propose an effective way to detect neutral, happy, sad and surprise these four emotions from frontal facial image of Human Being.