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Authors: Chanjin Seo 1 ; Masato Sabanai 1 ; Hiroyuki Ogata 2 and Jun Ohya 1

Affiliations: 1 Department of Modern Mechanical Engineering, Waseda University, 3-4-1, Ookubo, Shinjuku, Tokyo and Japan ; 2 Faculty of Science and Technology, Seikei University, 3-3-1, Kichijoji-kitamachi, Musahino-shi, Tokyo and Japan

Keyword(s): Running Motion, Unsupervised Learning, Coaching System, Stepwise Skill Improvement.

Related Ontology Subjects/Areas/Topics: Feature Selection and Extraction ; Pattern Recognition ; Theory and Methods

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Seo, C.; Sabanai, M.; Ogata, H. and Ohya, J. (2019). Understanding Sprinting Motion Skills using Unsupervised Learning for Stepwise Skill Improvements of Running Motion. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-351-3; ISSN 2184-4313, SciTePress, pages 467-475. DOI: 10.5220/0007358804670475

@conference{icpram19,
author={Chanjin Seo. and Masato Sabanai. and Hiroyuki Ogata. and Jun Ohya.},
title={Understanding Sprinting Motion Skills using Unsupervised Learning for Stepwise Skill Improvements of Running Motion},
booktitle={Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2019},
pages={467-475},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007358804670475},
isbn={978-989-758-351-3},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Understanding Sprinting Motion Skills using Unsupervised Learning for Stepwise Skill Improvements of Running Motion
SN - 978-989-758-351-3
IS - 2184-4313
AU - Seo, C.
AU - Sabanai, M.
AU - Ogata, H.
AU - Ohya, J.
PY - 2019
SP - 467
EP - 475
DO - 10.5220/0007358804670475
PB - SciTePress