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Modeling of Non-verbal Behaviors of Students in Cooperative Learning by Using OpenPose

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 11677)

Abstract

In this paper, we discuss the modeling for the interactions between non-verbal behaviors of “teaching/learning” students in the cooperative learning. First, we adopt the positions eyes, face and hands detected by OpenPose [7] as a skeleton detection algorithm by a single camera. Next, we propose a modeling method for non-verbal behaviors based on neural networks. Furthermore, we discuss the modeling results for the interactions between non-verbal behaviors of students based on the internal presentations in the above models.

Keywords

  • Cooperative learning
  • Student
  • Non-verbal behavior
  • Modeling
  • Neural network
  • OpenPose

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Numbers 19K12261 and 19K03095. The authors would like to thank for the valuable and inspire comments of the reviewers.

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Correspondence to Eiji Watanabe .

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Watanabe, E., Ozeki, T., Kohama, T. (2019). Modeling of Non-verbal Behaviors of Students in Cooperative Learning by Using OpenPose. In: Nakanishi, H., Egi, H., Chounta, IA., Takada, H., Ichimura, S., Hoppe, U. (eds) Collaboration Technologies and Social Computing. CRIWG+CollabTech 2019. Lecture Notes in Computer Science(), vol 11677. Springer, Cham. https://doi.org/10.1007/978-3-030-28011-6_13

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  • DOI: https://doi.org/10.1007/978-3-030-28011-6_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28010-9

  • Online ISBN: 978-3-030-28011-6

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