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Karate-kata Exercise Assist Method Using Video Image Retrieval Based on 3D Point Cloud Processing
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, Kinki University, Japan

Society for Information Technology & Teacher Education International Conference, in Las Vegas, NV, United States ISBN 978-1-939797-13-1 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA

Abstract

It is known that sport skill learning is facilitated by observing images of photographs of movements of trainees themselves or images of exemplary motions. However, observation learning of images is not used routinely at ordinary sports practice sites. The main hindrance blocking the wider use of images is that “it is troublesome to detect an objective scene from image files”. This study was conducted to establish a technology for the retrieval of objective scenes from images of body action based on three-dimensional point cloud processing and to propose an assist method for observation learning using this technology. In this study, coaching of karate-kata is emphasized, along with automatic retrieval of images of karate-kata and karate-kata practice assistance methods.

Citation

Tanaka, K. (2015). Karate-kata Exercise Assist Method Using Video Image Retrieval Based on 3D Point Cloud Processing. In D. Rutledge & D. Slykhuis (Eds.), Proceedings of SITE 2015--Society for Information Technology & Teacher Education International Conference (pp. 1399-1402). Las Vegas, NV, United States: Association for the Advancement of Computing in Education (AACE). Retrieved March 21, 2019 from .

Keywords

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References

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These references have been extracted automatically and may have some errors. If you see a mistake in the references above, please contact info@learntechlib.org.

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Cited By

  1. Motion Detection Method for Video Feedback System to Assist Karate Training

    Kazumoto Tanaka, Kindai university, Japan

    Society for Information Technology & Teacher Education International Conference 2017 (Mar 05, 2017) pp. 915–918

These links are based on references which have been extracted automatically and may have some errors. If you see a mistake, please contact info@learntechlib.org.