Motion lecture annotation system to learn Naginata performances

Daisuke Kobayashi; Ryota Sakamoto; Yoshihiko Nomura

doi:10.1117/12.2041630

3 February 2014 Motion lecture annotation system to learn Naginata performances

Daisuke Kobayashi, Ryota Sakamoto, Yoshihiko Nomura

Proceedings Volume 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques; 90250F (2014) https://doi.org/10.1117/12.2041630
Event: IS&T/SPIE Electronic Imaging, 2014, San Francisco, California, United States

Abstract

This paper describes a learning assistant system using motion capture data and annotation to teach “Naginata-jutsu” (a skill to practice Japanese halberd) performance. There are some video annotation tools such as YouTube. However these video based tools have only single angle of view. Our approach that uses motion-captured data allows us to view any angle. A lecturer can write annotations related to parts of body. We have made a comparison of effectiveness between the annotation tool of YouTube and the proposed system. The experimental result showed that our system triggered more annotations than the annotation tool of YouTube.

Citation Download Citation

Daisuke Kobayashi, Ryota Sakamoto, and Yoshihiko Nomura "Motion lecture annotation system to learn Naginata performances", Proc. SPIE 9025, Intelligent Robots and Computer Vision XXXI: Algorithms and Techniques, 90250F (3 February 2014); https://doi.org/10.1117/12.2041630

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