Human Emotion Detection based on facial expression is a task that can be effortlessly and consistently fulfilled by humans given a set of human images. However recent study has revealed the fact that computers are equally capable of accomplishing the same task with notable accuracy. In this paper an attempt has been made to detect various Human Emotions based on the facial expressions, analyse and classify them with the support of the well-known classifiers like Support Vector Machine Classifier and Neural Network Classifier. The main objective is to perform a comparative analysis of the performance of the above specified classifiers in accomplishing the task of emotion detection and its classification. The human emotions that has been studied for the analysis and classification are (1) Neutral Expression (2) Happy Expression (3) Sad Expression (4) Sleepy Expression (5) Surprised Expression and (6) Winked Expression.
