Facial expression recognition using lightweight deep learning modeling
Facial expression recognition using lightweight deep learning modeling
About this item
Full title
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Publisher
United States: AIMS Press
Journal title
Language
English
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Publisher
United States: AIMS Press
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Scope and Contents
Contents
Facial expression is a type of communication and is useful in many areas of computer vision, including intelligent visual surveillance, human-robot interaction and human behavior analysis. A deep learning approach is presented to classify happy, sad, angry, fearful, contemptuous, surprised and disgusted expressions. Accurate detection and classific...
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Full title
Facial expression recognition using lightweight deep learning modeling
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_d7519910e084472fb79d3d2540b42532
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_d7519910e084472fb79d3d2540b42532
Other Identifiers
ISSN
1551-0018
E-ISSN
1551-0018
DOI
10.3934/mbe.2023357
