Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutorin...
Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutoring systems
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Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
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Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
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Scope and Contents
Contents
An intelligent tutoring system is used as an efficient self-learning tutor, where decisions are based on the affective state of the user. These detected emotions are what experts call basic emotions and the best-known recognition technique is the recognition of facial expressions. A convolutional neural network (CNN) can be used to identify emotion...
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Full title
Hyperparameter optimization in CNN for learning-centered emotion recognition for intelligent tutoring systems
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TN_cdi_proquest_journals_2918051002
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2918051002
Other Identifiers
ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-019-04387-4
