Lightweight and Interpretable Detection of Affective Engagement for Online Learners-Reference-Cited by-同舟云学术

Lightweight and Interpretable Detection of Affective Engagement for Online Learners

Published:2021-10 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
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Author:

Boulanger David¹,Dewan M. Ali Akber¹,Kumar Vivekanandan S.¹,Lin Fuhua¹

Affiliation:

1. School of Computing and Information Systems, Athabasca University,Edmonton,Canada

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC)

Athabasca University, Canada

Publisher

IEEE

Link

Reference17 articles.

2. DAiSEE: towards user engagement recognition in the wild;gupta;Comput Vision Image Processing,2018

4. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size;iandola;ArXiv Preprint,2016

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