Spatial Temporal Analysis of Face Expression Recognition

Human emotions are conveyed by different medium such as behaviors, actions, poses, facial expressions and speech. Multitudinous researches have been carried out to find out the relation between these mediums and emotions. This paper proposes a system which automatically recognizes the emotion represented on a face. Thus, a Bezier curve based mostly resolution along with image processing is used in classifying the emotions. Colored face pictures square measure given as input to the system. Then, Image process based mostly feature purpose extraction technique is applied to extract a set of group of elite feature points. Finally, extracted features like eyes and mouth, obtained after when process given as input to the curve formula to recognize the emotion contained. Experimental results show average 90% of success to analysis and recognize emotion detection