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Review | Open Access

Trusted emotion recognition based on multiple signals captured from video and its application in intelligent education

Junjie Zhang1Cheng Fei1( )Yaqian Zheng2Kun Zheng3( )Mazhar Sarah3,4Yu Li3
Smart Learning Institute, Beijing Normal University, Beijing 100875, China
School of Educational Technology, Beijing Normal University, Beijing 100875, China
Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
Faculty of Engineering and Computing, National University of Modern Languages, Islamabad 44000, Pakistan
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Abstract

The emotional variation can reflect shifts in mental and emotional states. It plays an important role in the field of intelligent education. Emotion recognition can be used as cues for teachers to evaluate the learning state, analyze learning motivation, interest, and efficiency. Although research on emotion recognition has been ongoing for a long time, there has been a restricted emphasis on analyzing the credibility of the recognized emotions. In this paper, the origin, development, and application of emotion recognition were introduced. Then, multiple signals captured from video that could reflect emotion changes were described in detail and their advantages and disadvantages were discussed. Moreover, a comprehensive summary of the pertinent applications and research endeavors of emotion recognition technology in the field of education was provided. Last, the trend of emotion recognition in the field of education was given.

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Electronic Research Archive
Pages 3477-3521

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Cite this article:
Zhang J, Fei C, Zheng Y, et al. Trusted emotion recognition based on multiple signals captured from video and its application in intelligent education. Electronic Research Archive, 2024, 32(5): 3477-3521. https://doi.org/10.3934/era.2024161

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Received: 07 February 2024
Revised: 19 March 2024
Accepted: 15 May 2024
Published: 15 May 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)