Show simple item record

dc.contributor.authorAkputu, OK
dc.contributor.authorSeng, KP
dc.contributor.authorYunli, LEE
dc.contributor.authorAng, LM
dc.date.accessioned2019-06-10T01:34:00Z
dc.date.available2019-06-10T01:34:00Z
dc.date.issued2018
dc.identifier.issn1551-6857
dc.identifier.doi10.1145/3131287
dc.identifier.urihttp://hdl.handle.net/10072/384182
dc.description.abstractAdaptive Educational Hypermedia (AEH) e-learning models aim to personalize educational content and learning resources based on the needs of an individual learner. The Adaptive Hypermedia Architecture (AHA) is a specific implementation of the AEH model that exploits the cognitive characteristics of learner feedback to adapt resources accordingly. However, beside cognitive feedback, the learning realm generally includes both the affective and emotional feedback of the learner, which is often neglected in the design of e-learning models. This article aims to explore the potential of utilizing affect or emotion recognition research in AEH models. The framework is referred to as Multiple Kernel Learning Decision Tree Weighted Kernel Alignment (MKLDT-WFA). The MKLDT-WFA has two merits over classical MKL. First, the WFA component only preserves the relevant kernel weights to reduce redundancy and improve the discrimination for emotion classes. Second, training via the decision tree reduces the misclassification issues associated with the SimpleMKL. The proposed work has been evaluated on different emotion datasets and the results confirm the good performances. Finally, the conceptual Emotion-based E-learning Model (EEM) with the proposed emotion recognition framework is proposed for future work.
dc.description.peerreviewedYes
dc.publisherACM
dc.relation.ispartofissue1
dc.relation.ispartofjournalACM Transactions on Multimedia Computing, Communications and Applications
dc.relation.ispartofvolume14
dc.subject.fieldofresearchComputer Software
dc.subject.fieldofresearchDistributed Computing
dc.subject.fieldofresearchInformation Systems
dc.subject.fieldofresearchcode0803
dc.subject.fieldofresearchcode0805
dc.subject.fieldofresearchcode0806
dc.titleEmotion recognition using multiple kernel learning toward E-learning applications
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.hasfulltextNo Full Text
gro.griffith.authorAng, Li-minn (Kenneth)


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record