Development of a virtual environment for motion analysis of tennis service returns

Kei Saito, Katsutoshi Masai, Yuta Sugiura, Toshitaka Kimura, Maki Sugimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In sports performance analysis, it is important to understand differences between experts and novices in order to train novices in an efficient manner. To understand these differences within the game of tennis, we developed a virtual environment to analyze the responses of experts and novices to services. By capturing actual service motions of an expert, it is possible to reproduce virtualized services in the environment. We did experiments on types and courses of services. As a result, we found differences between experts and novices in preparation, leg movement, take-back returns, and degree of spine twist.

Original languageEnglish
Title of host publicationMMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018
PublisherAssociation for Computing Machinery, Inc
Pages59-66
Number of pages8
ISBN (Electronic)9781450359818
DOIs
Publication statusPublished - 2018 Oct 19
Event1st ACM International Workshop on Multimedia Content Analysis in Sports, ACM 2018, co-located with ACM Multimedia 2018 - Seoul, Korea, Republic of
Duration: 2018 Oct 26 → …

Publication series

NameMMSports 2018 - Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, Co-located with MM 2018

Conference

Conference1st ACM International Workshop on Multimedia Content Analysis in Sports, ACM 2018, co-located with ACM Multimedia 2018
Country/TerritoryKorea, Republic of
CitySeoul
Period18/10/26 → …

Keywords

  • Motion Analysis
  • Tennis
  • Virtual Environment

ASJC Scopus subject areas

  • Media Technology
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

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