Human emotion Classification based on Fuzzified Physical Parameters

H, RANGANATHAN and SWAGATA, SARKAR (2016) Human emotion Classification based on Fuzzified Physical Parameters. In: Fifth International Conference On Advances in Computing, Electronics and Electrical Technology - CEET 2016, 12-13 March,2016, Kuala Lumpur, Malaysia.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Artificial Neural Network,Fuzzification, human emotion, Sensitivity, Specificity
Depositing User: Mr. John Steve
Date Deposited: 27 Mar 2019 12:11
Last Modified: 27 Mar 2019 12:11
URI: http://publications.theired.org/id/eprint/1009

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