Sport Skill Analysis with Time Series Data

Authors

  • Toshiyuki MAEDA Faculty of Management Information, Hannan University, 5-4-33 Amami-higashi, Matsubara-shi, Osaka 580-8502, Japan
  • Masanori FUJII Faculty of Management Information, Hannan University, 5-4-33 Amami-higashi, Matsubara-shi, Osaka 580-8502, Japan
  • Isao HAYASHI Faculty of Informatics, Kansai University, 2-1-1 Ryozenji-cho, Takatsuki-shi, Osaka 569-1095, Japan
  • Masumi YAJIMA Faculty of Economics, Meikai University, 1 Akemi, Urayasu-shi, Chiba 279-8550, Japan

Keywords:

Time Series Data, Sport Skill, Data Mining, Motion Picture, Knowledge Acquisition

Abstract

We present sport skill data analysis with time series data from motion pictures, focused on table tennis. We use neither body nor skeleton model, but use only hi-speed motion pictures, from which time series data are obtained and analyzed using data mining methods such as C4.5 and so on. We identify internal models for technical skills as evaluation skillfulness for forehand stroke of table tennis, and discuss mono and meta-functional skills for improving skills.

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Published

2014-04-01

How to Cite

Toshiyuki MAEDA, Masanori FUJII, Isao HAYASHI, & Masumi YAJIMA. (2014). Sport Skill Analysis with Time Series Data . International Journal of Computer Information Systems and Industrial Management Applications, 6, 8. Retrieved from https://cspub-ijcisim.org/index.php/ijcisim/article/view/265

Issue

Vol. 6 (2014)

Section

Original Articles

License

Copyright (c) 2023 International Journal of Computer Information Systems and Industrial Management Applications

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