CLEFT: Contextualised Unified Learning of User Engagement in Video Lectures With Feedback

Author:

Roy Sujit1ORCID,Gaur Vishal1,Raza Haider2ORCID,Jameel Shoaib3

Affiliation:

1. Brainalive Research Pvt. Ltd., Kanpur, India

2. School of Computer Science and Electronics Engineering, University of Essex, CO4 3SQ Colchester, U.K

3. School of Electronics and Computer Science, University of Southampton, SO17 1BJ Southampton, U.K

Funder

Brainalive Research Pvt. Ltd., Kanpur, India

Economic and Social Research Council

Business and Local Government Data Research Centre

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference46 articles.

1. Robust acoustic speech emotion recognition by ensembles of classifiers;schuller;Fortschritte der Akustik Tagungsband d 36 DAGA,2005

2. Influences of Emotion on Context Memory while Viewing Film Clips

3. Combining classifiers with diverse feature sets for robust speaker independent emotion recognition;lugger;Proc 17th Eur Signal Process Conf,2009

4. Lesions of the human amygdala impair enhanced perception of emotionally salient events

5. Documentation of the Danish emotional speech database des;engberg,1996

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1. Online educational video engagement prediction based on dynamic graph neural networks;International Journal of Web Information Systems;2023-09-08

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