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Author:

Zhang, J. (Zhang, J..) | Fei, C. (Fei, C..) | Zheng, Y. (Zheng, Y..) | Zheng, K. (Zheng, K..) | Sarah, M. (Sarah, M..) | Li, Y. (Li, Y..)

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Scopus

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. © (2024) the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)

Keyword:

artificial intelligence trusted emotion recognition multiple signals intelligent education

Author Community:

  • [ 1 ] [Zhang J.]Smart Learning Institute, Beijing Normal University, Beijing, 100875, China
  • [ 2 ] [Fei C.]Smart Learning Institute, Beijing Normal University, Beijing, 100875, China
  • [ 3 ] [Zheng Y.]School of Educational Technology, Beijing Normal University, Beijing, 100875, China
  • [ 4 ] [Zheng K.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Sarah M.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Sarah M.]Faculty of Engineering and Computing, National University of Modern Languages, Islamabad, 44000, Pakistan
  • [ 7 ] [Li Y.]Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

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Source :

Electronic Research Archive

ISSN: 2688-1594

Year: 2024

Issue: 5

Volume: 32

Page: 3477-3521

0 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 10

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