Publication: A Review on Emotional Recognition System Based E-learning: Technology and Challenges
Date
2021
Authors
Fadahl Alhaboobi Z.A.
Singh Sidhu M.
Hilaluddin T.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
Multiple 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.
Description
Brain; 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 education