Understanding sprinting motion skills using unsupervised learning for stepwise skill improvements of running motion

Chanjin Seo, Masato Sabanai, Hiroyuki Ogata, Jun Ohya

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

1 Citation (Scopus)

Abstract

To improve running performances, each runner's skill, such as characteristics and habits, needs to be known, and feedback on the performance should be outputted according to the runner's skill level. In this paper, we propose a new coaching system for detecting the skill of a runner and a method of giving feedback using a sprint motion dataset. Our proposed method calculates an extracted feature to detect the skill using an autoencoder whose middle layer is an LSTM layer; we analyse the feature using hierarchical clustering, and we analyse the human joints that affect the skill. As a result of experiments, five clusters are obtained using hierarchical clustering. This paper clarifies how to detect the skill and to output feedback to achieve a level of performance one step higher than the current level.

Original languageEnglish
Title of host publicationICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
EditorsAna Fred, Maria De Marsico, Gabriella Sanniti di Baja
PublisherSciTePress
Pages467-475
Number of pages9
ISBN (Electronic)9789897583513
Publication statusPublished - 2019 Jan 1
Event8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019 - Prague, Czech Republic
Duration: 2019 Feb 192019 Feb 21

Publication series

NameICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods

Conference

Conference8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019
CountryCzech Republic
CityPrague
Period19/2/1919/2/21

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Keywords

  • Coaching System
  • Running Motion
  • Stepwise Skill Improvement
  • Unsupervised Learning

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

Cite this

Seo, C., Sabanai, M., Ogata, H., & Ohya, J. (2019). Understanding sprinting motion skills using unsupervised learning for stepwise skill improvements of running motion. In A. Fred, M. De Marsico, & G. S. di Baja (Eds.), ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (pp. 467-475). (ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods). SciTePress.