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Online Dance Lesson Support System Using Flipped Classroom

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Advances in Mobile Computing and Multimedia Intelligence (MoMM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13634))

Abstract

Contemporary online lessons that use web-conferencing systems suffer from several issues, mainly because instructors engage in the same type of instruction as they do in conventional offline lessons. For example, it might be difficult for learners to grasp three-dimensional movements. Teaching through a video displayed on a screen is also limited, as opposed to teaching through physical bodies and showing movements in person. In addition, it is difficult for the instructors to teach one person at a time during a lesson with many students. This study proposes an online dance lesson support system that enables instructors to remotely but effectively teach multiple learners. We initially focus on the framework of online dance lessons and subsequently propose a lesson style that applies to flipped classrooms. We aim to provide a new lesson style for on-demand lessons and real-time lessons using deep learning techniques.

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Acknowledgements

This work was supported by Mitou Foundation, and JST, CREST Grant Number JPMJCR18A3, Japan.

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Authors and Affiliations

  1. Kobe University, 1-1, Rokkodai-cho, Nada-ku, Kobe, Japan

    Shuhei Tsuchida, Daichi Shimizu, Tsutomu Terada & Masahiko Tsukamoto

  2. Sports Academy Tsuchiura, 1-11-5 Kawaguchi, Tsuchiura, Ibaraki, Japan

    Kanako Shibasaki

Authors
  1. Shuhei Tsuchida
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  2. Daichi Shimizu
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  3. Kanako Shibasaki
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  4. Tsutomu Terada
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  5. Masahiko Tsukamoto
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Corresponding author

Correspondence to Shuhei Tsuchida .

Editor information

Editors and Affiliations

  1. Monash University, Melbourne, VIC, Australia

    Pari Delir Haghighi

  2. Johannes Kepler University Linz, Linz, Austria

    Ismail Khalil

  3. Johannes Kepler University Linz, Linz, Austria

    Gabriele Kotsis

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Tsuchida, S., Shimizu, D., Shibasaki, K., Terada, T., Tsukamoto, M. (2022). Online Dance Lesson Support System Using Flipped Classroom. In: Delir Haghighi, P., Khalil, I., Kotsis, G. (eds) Advances in Mobile Computing and Multimedia Intelligence. MoMM 2022. Lecture Notes in Computer Science, vol 13634. Springer, Cham. https://doi.org/10.1007/978-3-031-20436-4_13

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  • DOI: https://doi.org/10.1007/978-3-031-20436-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-20435-7

  • Online ISBN: 978-3-031-20436-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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