An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms

Azaraffali, K.M. and Krishnakumar, Dr.T. and Sriram, Dr.M. (2021) An adaptive approach for Human Emotions Recognition System for Neural Networks using Hidden Markov Model and Self Organizing Maps algorithms. In: Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India.

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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 expressiveca

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 14:24
Last Modified: 17 Apr 2026 08:29
URI: http://eprints.eai.eu/id/eprint/34601

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