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A Review on Emotional Recognition System Based E-learning: Technology and Challenges

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dc.contributor.authorFadahl Alhaboobi Z.A.en_US
dc.contributor.authorSingh Sidhu M.en_US
dc.contributor.authorHilaluddin T.en_US
dc.contributor.authorid57226695179en_US
dc.contributor.authorid57226688688en_US
dc.contributor.authorid57226685408en_US
dc.date.accessioned2023-05-29T09:06:49Z
dc.date.available2023-05-29T09:06:49Z
dc.date.issued2021
dc.descriptionBrain; Deep learning; E-learning; Learning systems; Body activities; Electronic learning (e-learning); Emotional recognition; Learning management system; Multiple technology; State-of-the-art technology; Engineering educationen_US
dc.description.abstractMultiple technologies have been incorporated with learning management systems (LMSs) in order to facilitate electronic learning (e-learning) experience. Emotional recognition system (ERS) is one of those technologies for providing tutors with learners' emotions related data such as anger, sadness, happiness etc. Additionally, emotions can be recognized using data alike facial, body activities and brain activate. This paper provides an overview of ERS structure referring to the existing state of the art technology. Results showed that great contribution was made in terms of ERS classification score enhancement by using deep learning-based conventional neural networks (CNN) such as AlexNet, GoogleNet, Inception V3, ResNet50 and SqueezeNet classifiers. � 2021 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo9493551
dc.identifier.doi10.1109/ICOTEN52080.2021.9493551
dc.identifier.scopus2-s2.0-85112348439
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85112348439&doi=10.1109%2fICOTEN52080.2021.9493551&partnerID=40&md5=c8606c18ec864ea2a0a1125f9813532e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/26102
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2021 International Congress of Advanced Technology and Engineering, ICOTEN 2021
dc.titleA Review on Emotional Recognition System Based E-learning: Technology and Challengesen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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