Lightweight Model for Emotion Detection from Facial Expression in Online Learning

Md Rayhan Kabir, M. Ali Akber Dewan, Fuhua Lin

Research output: Chapter in Book/Report/Conference proceedingPublished Conference contributionpeer-review

Abstract

Detecting educational emotion of students is important as this plays a vital role in their learning process. Generally, in a regular classroom, instructors can observe the emotion of the students by their facial expressions. In an online learning platform, it is quite challenging. Deep learning architectures are found to be efficient in detecting emotion from facial expressions. However, these architectures are very deep in nature and computationally expensive, which are not suitable to deploy on students' edge devices. In this study, we propose a deep learning architecture based on MobileNet, which is lightweight in nature and suitable to deploy in edge devices. We performed a comparative analysis of the proposed architecture with some other state-of-the-art deep learning architectures using a dataset called "Spontaneous Facial Expression Database for Academic Emotion Inference in Online Learning (OL-SFED)"which was developed using an online learning platform. From the comparison, we found that the proposed architecture showed competitive performance in terms of accuracy with the state-of-the-art architectures while using a significantly less number of parameters than the others.

Original languageEnglish
Title of host publication2023 Annual IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2023
Pages174-179
Number of pages6
ISBN (Electronic)9798350323979
DOIs
Publication statusPublished - 2023
Event2023 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2023 - Regina, Canada
Duration: 24 Sep. 202327 Sep. 2023

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2023-September
ISSN (Print)0840-7789

Conference

Conference2023 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2023
Country/TerritoryCanada
CityRegina
Period24/09/2327/09/23

Keywords

  • Educational emotion detection
  • facial expression recognition
  • lightweight architecture
  • neural network
  • online learning

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