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CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library S...

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library S...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3187475454

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library SVM

About this item

Full title

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library SVM

Publisher

United States: Public Library of Science

Journal title

PloS one, 2025-04, Vol.20 (4), p.e0320058

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

Human emotions are not necessarily tends to produce right facial expressions as there is no well defined connection between them. Although, human emotions are spontaneous, their facial expressions depend a lot on their mental and psychological capacity to either hide it or show it explicitly. Over a decade, Machine Learning and Neural Networks meth...

Alternative Titles

Full title

CNN-LSTM based emotion recognition using Chebyshev moment and K-fold validation with multi-library SVM

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_3187475454

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3187475454

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0320058

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