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Optimization of machine learning algorithm of emotion recognition in terms of human facial expressions

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dc.contributor.authorIvanova, E.
dc.contributor.authorBorzunov, G.
dc.contributor.authorБорзунов, Георгий Иванович
dc.date.accessioned2024-11-26T13:21:42Z
dc.date.available2024-11-26T13:21:42Z
dc.date.issued2020
dc.description.abstract© 2020 The Authors. Published by Elsevier B.V.This work is devoted to the optimization of the recognition method of seven basic emotions (joy, sadness, fear, anger, surprise, disgust and neutral) in terms of the expressions of the human face. The existing approaches of the emotion recognition systems construction was analyzed based on human facial expressions, and focused on the advantages of using scheems based on neural networks. We proposed a method of constructing an emotion recognition system based on a neural network, which includes an optimized algorithm for generating training and test samples, as well as determining the rational number of layers of the neural network.
dc.format.extentС. 244-248
dc.identifier.citationIvanova, E. Optimization of machine learning algorithm of emotion recognition in terms of human facial expressions / Ivanova, E., Borzunov, G. // Procedia Computer Science. - 2020. - 169. - P. 244-248. - 10.1016/j.procs.2020.02.143
dc.identifier.doi10.1016/j.procs.2020.02.143
dc.identifier.urihttps://www.doi.org/10.1016/j.procs.2020.02.143
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85084469157&origin=resultslist
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/21759
dc.relation.ispartofProcedia Computer Science
dc.titleOptimization of machine learning algorithm of emotion recognition in terms of human facial expressions
dc.typeConference Paper
dspace.entity.typePublication
oaire.citation.volume169
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