Expression Detection using Python

Abstract

In our project, we will introduce a facial expression detection system. This system is based on facial features extraction using the knowledge of the face geometry and Bezier curves representing the relationship between the motion of features and changes of expressions. For face identification, shading division dependent on the clever thought of fluffy classification has been utilized that controls equivocalness in colors. Experimental results demonstrate that this method can recognize the facial expressions with an accuracy of more than 90 cases. such as happiness, sadness, sorrow, disgust, anger etc. At last, the framework has been executed utilizing a controller robot and giving look orders. From human face structure, we divide in 3 regions such as right eye, left eye and mouth areas from the face image. Firstly, comes the face detection and then detection of the skin region. We crop the facial skin region and connect the largest skin region to detect the skin surface of the human face.