Research Article
An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms
@INPROCEEDINGS{10.4108/eai.7-6-2021.2308680, author={K.M. Azaraffali and Dr.T. Krishnakumar and Dr.M. Sriram}, title={An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms}, proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India}, publisher={EAI}, proceedings_a={I3CAC}, year={2021}, month={6}, keywords={markov model self organizing maps algorithms neural networks human emotions recognition system}, doi={10.4108/eai.7-6-2021.2308680} }- K.M. Azaraffali
Dr.T. Krishnakumar
Dr.M. Sriram
Year: 2021
An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms
I3CAC
EAI
DOI: 10.4108/eai.7-6-2021.2308680
Abstract
In machine learning, recognition of human emotions by a machine is an important research area. It is informal to reason of emotions as a luxury, approximately that is needless for basic intelligent operative, and something that is problematic to encode in a computer program. Then giving expressivecapabilities to machine has been a least priority up till now. But recent studies suggest that emotions play surprisingly dangerous role in balanced and brainybehavior. Too slightfeeling can damagebalancedthoughtful and behaviour. The main impartial of this paper is the identification of emotional states of human beings.Inthis researchthe algorithms to be used are Hidden Markov Model and Self Organizing Maps..
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