Home > Archive > 2019 > Volume 9 Number 9 (Sep. 2019) >
IJIET 2019 Vol.9(9): 645-651 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.9.1282

Prototype of Educational Affective Arousal Evaluation System Based on Facial and Speech Emotion Recognition

Jingjing Liu and Xiaofeng Wu

Abstract—Educational theories and empirical researches indicate that teaching objectives are not limited to the field of knowledge and cognition, and emotion has also proved to be an important part of learning outcomes and future achievements. An affective arousal evaluation system focusing on the self-system goal of education is proposed in this paper, which introduces artificial intelligence (AI) techniques to evaluate affective arousal level as a part of teaching quality in the form of quantitative indicators. The system embeds facial expression recognition and speech emotion recognition methods, which extract and analyze the video streaming collected by the ubiquitous web cameras from both teacher side and student side during the online teaching process. The experiment verifies the correlation and Granger causality between teacher-student affective sequences. The implementation of the system realizes the output of three quantitative indicators: “Affective Frequency Index”, “Affective Correlation Index” and “Affective Arousal Level”.

Index Terms—Affective arousal, expression recognition, speech emotion recognition, teaching evaluation.

The authors are with Department of Electronic Engineering, Fudan University, Shanghai, China (e-mail: jjliu0201@163.com, xiaofengwu@fudan.edu.cn).


Cite: Jingjing Liu and Xiaofeng Wu, "Prototype of Educational Affective Arousal Evaluation System Based on Facial and Speech Emotion Recognition," International Journal of Information and Education Technology vol. 9, no. 9, pp. 645-651, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


Article Metrics in Dimensions