Visualization of Interest Level using OpenPose with Class Videos

  • Dongshik Kang University of The Ryukyus Faculty of Engineering, Japan https://orcid.org/0009-0006-5465-0780
  • Yoshiaki Sasazawa University of The Ryukyus Faculty of Education, Japan
  • Minoru Kobayashi Bunkyo University Faculty Of Education, Japan
DOI: https://doi.org/10.58190/imiens.2023.47

Keywords

interest level, visualization, OpenPose, classroom video, face direction

Abstract

The approach from the teacher's side to improve the classroom is to establish a learning discipline and an improvement method. However, there are various ways to do this, and it is an important part of teachers' work. In this paper, we propose a system for estimating the level of interest from class videos as a means of knowing the learning status of individual students. Using OpenPose, the system detects a person in a class video and extracts feature data of his/her joints. And we measure the concentration level based on the information of posture, facial orientation, and other movements. In addition, assuming that a person's face is facing the direction of the target when he/she is concentrating, we measure the concentration level based on the information of posture, facial direction, and other movements.

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References

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    • Published: 2023-09-30

    Issue: Vol. 2 No. 3 (2023) (view)

    Section: Research Articles

    How to cite:
    [1]
    D. Kang, Y. Sasazawa, and M. Kobayashi, “Visualization of Interest Level using OpenPose with Class Videos”, Intell Methods Eng Sci, vol. 2, no. 3, pp. 84–89, Sep. 2023.

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