Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts
Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts
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Publisher
Switzerland: MDPI
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Language
English
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Publisher
Switzerland: MDPI
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Contents
In face-to-face and online learning, emotions and emotional intelligence have an influence and play an essential role. Learners' emotions are crucial for e-learning system because they promote or restrain the learning. Many researchers have investigated the impacts of emotions in enhancing and maximizing e-learning outcomes. Several machine learnin...
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Full title
Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts
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TN_cdi_doaj_primary_oai_doaj_org_article_1ad80c779ba441459b90941f4b890837
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1ad80c779ba441459b90941f4b890837
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21051589
