ISSN: 2979-9236|DOI: 10.58190/imiens|Open Access|Peer-Reviewed
Intelligent Methods In Engineering Sciences
Research Articleslock_openOpen AccessPeer-Reviewed Article

Visualization of Interest Level using OpenPose with Class Videos

Dongshik Kang
Yoshiaki Sasazawa
Minoru Kobayashi
Publication Date
September 30, 2023
Volume / Issue
Vol. 2, Issue 3 (pp. 84-89)

subjectAbstract

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.

Keywords:interest levelvisualizationOpenPoseclassroom videoface direction

Author Information & Affiliations

  • Dongshik KangUniversity of The Ryukyus Faculty of Engineering, Japanlinkhttps://orcid.org/0009-0006-5465-0780
  • Yoshiaki Sasazawa University of The Ryukyus Faculty of Education, Japan
  • Minoru Kobayashi Bunkyo University Faculty Of Education, Japan

format_list_numberedReferences (6)

Cited Literature
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    Tatsuma Muramatsu, Akihiko Sugiura,“Effect Verification of Concentration Measurement System that Uses Face Informations,” the 74th National Convention of IPSJ, 2012.

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    Z.Cao. Hidalgo, T. Simon, S.Wei, “Y.Sheikh:Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields,” arXiv preprint ar Xiv:1812.0808

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    Zho Cao, Tomas Simon, Shih-En Wei, and Yaser Sheikh, “Realtime multi-person 2d pose estimation using part affinity fields, In CVPR, 2017.

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    Yunkai Zhang, Yinghong Tian, Pingyi Wu, Dongfan Chen, “Application of Skeleton Data and Long Short-Term Memory in Action Recognition of Children with Autism Spectrum Disorder,” Sensors 2021, 21, 411.

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    Google, “Google Colaboratory,” https://colab.google, 28 September 2023.

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How to Cite this Article

Kang, D., Sasazawa , Y., Kobayashi , M. (2023). Visualization of Interest Level using OpenPose with Class Videos. Intelligent Methods In Engineering Sciences, 84-89. https://doi.org/10.58190/imiens.2023.47