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Author:

Zhang, Junjie (Zhang, Junjie.) | Fei, Cheng (Fei, Cheng.) | Zheng, Yaqian (Zheng, Yaqian.) | Zheng, Kun (Zheng, Kun.) | Sarah, Mazhar (Sarah, Mazhar.) | Li, Yu (Li, Yu.)

Indexed by:

Scopus SCIE

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.

Keyword:

trusted emotion recognition intelligent education multiple signals artificial intelligence

Author Community:

  • [ 1 ] [Zhang, Junjie]Beijing Normal Univ, Smart Learning Inst, Beijing 100875, Peoples R China
  • [ 2 ] [Fei, Cheng]Beijing Normal Univ, Smart Learning Inst, Beijing 100875, Peoples R China
  • [ 3 ] [Zheng, Yaqian]Beijing Normal Univ, Sch Educ Technol, Beijing 100875, Peoples R China
  • [ 4 ] [Zheng, Kun]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Sarah, Mazhar]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Li, Yu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Sarah, Mazhar]Natl Univ Modern Languages, Fac Engn & Comp, Islamabad 44000, Pakistan

Reprint Author's Address:

  • [Fei, Cheng]Beijing Normal Univ, Smart Learning Inst, Beijing 100875, Peoples R China;;[Zheng, Kun]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;

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Source :

ELECTRONIC RESEARCH ARCHIVE

Year: 2024

Issue: 5

Volume: 32

Page: 3477-3521

0 . 8 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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