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Towards Analyzing Psychomotor Group Activity for Collaborative Teaching Using Neural Networks

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Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky (AIED 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1831))

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Abstract

Collaborative teaching in psychomotor skills requires the ability to detect and analyze the movements and postures of multiple participants simultaneously. In this paper we explore the feasibility of analyzing group activity in psychomotor contexts using neural networks. We apply our approach to kihon kumite, a training exercise in karate where two participants perform predetermined techniques. The overall activity is measured as the sum of individual performances, with the support of computer vision techniques to label individuals and classify postures. Furthermore, interactions between participants are also analyzed, which allows for a more comprehensive understanding of the group activity. Our approach shows promising results for improving collaborative teaching in psychomotor skills and can be extended to other physical activities.

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Acknowledgments

This work is part of the project HUMANAID (TED2021-129485BC1) funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU”/PRTR.

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Authors and Affiliations

  1. Artificial Intelligence Department, UNED, Madrid, Spain

    Jon Echeverría & Olga C. Santos

Authors
  1. Jon Echeverría
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  2. Olga C. Santos
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Corresponding author

Correspondence to Jon Echeverría .

Editor information

Editors and Affiliations

  1. University of Southern California, Los Angeles, CA, USA

    Ning Wang

  2. University of British Columbia, Vancouver, BC, Canada

    Genaro Rebolledo-Mendez

  3. University of Leeds, Leeds, UK

    Vania Dimitrova

  4. North Carolina State University, Raleigh, NC, USA

    Noboru Matsuda

  5. UNED, Madrid, Spain

    Olga C. Santos

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Echeverría, J., Santos, O.C. (2023). Towards Analyzing Psychomotor Group Activity for Collaborative Teaching Using Neural Networks. In: Wang, N., Rebolledo-Mendez, G., Dimitrova, V., Matsuda, N., Santos, O.C. (eds) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky. AIED 2023. Communications in Computer and Information Science, vol 1831. Springer, Cham. https://doi.org/10.1007/978-3-031-36336-8_63

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  • DOI: https://doi.org/10.1007/978-3-031-36336-8_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36335-1

  • Online ISBN: 978-3-031-36336-8

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