TY - GEN
T1 - Understanding sprinting motion skills using unsupervised learning for stepwise skill improvements of running motion
AU - Seo, Chanjin
AU - Sabanai, Masato
AU - Ogata, Hiroyuki
AU - Ohya, Jun
N1 - Funding Information:
This study was part of research activities of the Human Performance Laboratory, Organization for University Research Initiatives, Waseda University.
Publisher Copyright:
Copyright © 2019 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Coaching System
KW - Running Motion
KW - Stepwise Skill Improvement
KW - Unsupervised Learning
UR - http://www.scopus.com/inward/record.url?scp=85064660228&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064660228&partnerID=8YFLogxK
U2 - 10.5220/0007358804670475
DO - 10.5220/0007358804670475
M3 - Conference contribution
AN - SCOPUS:85064660228
T3 - ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
SP - 467
EP - 475
BT - ICPRAM 2019 - Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods
A2 - De Marsico, Maria
A2 - di Baja, Gabriella Sanniti
A2 - Fred, Ana
PB - SciTePress
T2 - 8th International Conference on Pattern Recognition Applications and Methods, ICPRAM 2019
Y2 - 19 February 2019 through 21 February 2019
ER -