[4Xin2] Poster session 2

[4Xin2-54] Development of a Motion Visualization System for Collaborative Learning of Physical Skills: Application to Ice Hockey Shooting Practice

〇Yuta Ogai¹, Kenta Igarashi¹, Sayaka Tohyama², Masayuki Yamada³ (1.Tokyo Polytechnic University, 2.Shizuoka University, 3.Kyushu Institute of Technology)

Keywords:sports, pose estimation, learning support

In this study, we created a system to enhance the collaborative learning of physical skills by visualizing movement, using OpenPose for pose estimation and Chart.js for interactive graph viewing.Targeting ice hockey shooting practice, we tested the system with six university ice hockey team members.They practiced three times without the system, followed by three sessions with it.Feedback was gathered through questionnaires after each session.Results showed that participants effectively visualized and analyzed specific body movements, incorporating this data into their practice.They also compared their movements with peers', fostering collaborative learning.These findings suggest that such an approach could be beneficial in refining physical skills through visualization and peer comparison.