Journals Proceedings

Abstract

There are six basic emotions (sad, happy, fear, angry, surprise, neutral) which can be classified based on different technologies such as image processing, signal processing etc. Facial Emotion detection, fMRI based emotion classification, EEG based emotion analysis are some of the varieties which can diagnose human emotions. In this paper the human emotion classification is done based on physical parameters. The experimental physical parameters are classified by back Propagation algorithm of Artificial Neural Network classifier after fuzzification of data. It is seen that a significant improvement has happened in value of specificity and sensitivity after fuzzification of data.