Parametric analysis of facial expressions based on the statistical approach

Recognition of facial expression was studied in this paper using several properties associated with the face it self. Actually, as the facial expression changes, the curvatures developed on the face and the dimensions of the objects such as eyebrows, lips and the area of the mouth change. Naturally there exist changes in the intensity of the pixels corresponding to these objects. Therefore it was found that the natural eye could distinguish these sharp changes and understand the facial expressions accordingly. The percentage changes were computed with regard to certain parameters related to different expressions associated with the face and that of the neutral face of the same person. The experimental results predicted a definite change in every trail. These results can also be used as a tool to design intelligent systems which recognizes different objects in the given environment. The results are found to be of immense scientific interest.