Fuzzy-Based Head Attitude Estimation for Improved Students’ Concentration Evaluation

Zheng Zhou, Kaoru Hirota, Yaping Dai, Md Shariful Islam, Bemnet Wondimagegnehu Mersha*, Wei Dai, Yumin Lin

*Corresponding author for this work

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

Abstract

In order to evaluate students’ concentration in offline education, an algorithm based on fuzzy comprehensive evaluation is proposed. The algorithm evaluates students’ concentration by measuring their head attitude angle, which consists of three modules: face key points detection, head attitude angle measurement and concentration decision, and outputs the curve of students’ overall concentration score over time. Compared with other concentration evaluation methods, the proposed algorithm achieves the evaluation of overall students’ concentration under low pixel video and is suitable for most offline classrooms with monitoring devices. The overall functional effectiveness of the algorithm was tested with a classroom video dataset of 35 students. The algorithm outputs students’ concentration scores at 30 FPS, meeting the requirement of a real-time classroom. The algorithm’s scores were compared to the artificial scores of 15 experts, resulting in an average accuracy of 88.3% and a Pearson’s correlation coefficient of 0.936 between the two, thus validating the effectiveness of the algorithm. The proposed algorithm can provide educators with a reference for educational effectiveness and help to realize the automatic assessment of educational quality in the future.

Original languageEnglish
Title of host publicationComputational Intelligence and Industrial Applications - 11th International Symposium, ISCIIA 2024, Proceedings
EditorsBin Xin, Hongbin Ma, Jinhua She, Weihua Cao
PublisherSpringer Science and Business Media Deutschland GmbH
Pages14-28
Number of pages15
ISBN (Print)9789819647521
DOIs
Publication statusPublished - 2025
Event11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024 - Beijing, China
Duration: 1 Nov 20245 Nov 2024

Publication series

NameCommunications in Computer and Information Science
Volume2465 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference11th International Symposium on Computational Intelligence and Industrial Applications, ISCIIA 2024
Country/TerritoryChina
CityBeijing
Period1/11/245/11/24

Keywords

  • Concentration evaluation
  • Fuzzy comprehensive evaluation
  • Head attitude estimation
  • Offline education

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