Art

J-GLOBAL ID：201702279457521301   Reference number：17A0922532

Swimming Style Classification Based on Ensemble Learning and Adaptive Feature Value by Using Intertial Measurement Unit

慣性計測ユニットを用いたアンサンブル学習と適応的特徴量に基づくスイミングスタイル分類

Author (11)： OMAE Yuto (National Inst. Technol., Tokyo Coll., Tokyo, JPN) ,  KON Yoshihisa (Nagaoka Univ. Technol., Niigata, JPN) ,  KOBAYASHI Masahiro (Nagaoka Univ. Technol., Niigata, JPN) ,  SAKAI Kazuki (Nagaoka Univ. Technol., Niigata, JPN) ,  SHIONOYA Akira (Nagaoka Univ. Technol., Niigata, JPN) ,  TAKAHASHI Hirotaka (Nagaoka Univ. Technol., Niigata, JPN) ,  AKIDUKI Takuma (Toyohashi Univ. Technol., Aichi, JPN) ,  NAKAI Kazufumi (National Inst. Technol., Toba Coll., Mie, JPN) ,  EZAKI Nobuo (National Inst. Technol., Toba Coll., Mie, JPN) ,  SAKURAI Yoshihisa (Sports Sensing Co., Ltd., Fukuoka, JPN) ,  MIYAJI Chikara (Univ. Tokyo, Tokyo, JPN)
Material： Journal of Advanced Computational Intelligence and Intelligent Informatics  (J Adv Comput Intell Intell Inform)
Volume： 21  Issue： 4  Page： 616-631  Publication year： Jul. 20, 2017 
JST Material Number： F1398A  ISSN： 1343-0130  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *swimming ,  *mold and pattern ,  *measuring instrument ,  *Machine Learning ,  *information ,  computer application system ,  computer algorithm ,  *feature quantity ,  *inertial measurement unit ,  *Sports
Semi thesaurus term： *swimming ,  *style ,  *inertial measurement unit ,  *ensemble learning ,  advisor system ,  random forest

JST classification (4)： Measuring instruments in general  (AD02000X) ,  Stadiums,exhibition halls,memorial architectures,others  (RB05070C) ,  Artificial intelligence  (JE08000Z) ,  Numerical computation  (JE02000J)

Reference (13)：

• MEXT, “Decision of the Target Sports on Summer Olympics,” http://www.mext.go.jp/b_menu/houdou/27/04/1356716.htm, [Accessed February 8, 2016]
• Y. Omae, Y. Kon, K. Sakai, H. Takahashi, T. Akiduki, C. Miyazi, Y. Sakurai, N. Ezaki, and K. Nakai, “Supporting Environment to Coach Swimmer by Data-driven Approach,” JSME Symp.: Sports engineering and Human Dynamics 2015, A-14, 2015.
• Y. Kon, Y. Omae, K. Sakai, H. Takahashi, T. Akiduki, C. Miyazi, Y. Sakurai, N. Ezaki, and K. Nakai, “Swimming Style Classification for Developing System of Swimming Performance and Technique Evaluation,” JSME Symp.: Sports engineering and Human Dynamics 2015, A-15, 2015.
• Y. Ohgi, K. Kaneda, and A. Takakura, “A swimming style prediction using the chest acceleration,” Symp. on Sports and Human Dynamics 2012, pp. 98-103, 2012.
• W. Choi, J. Oh, T. Park, S. Kang, M. Moon, U. Lee, I. Hwang, and J. Song, “Mobydick: An interactive multi-swimmer exergame,” The 12th ACM Conf. on Embedded Network Sensor Systems, pp. 76-90, 2014.

Terms in the title (7)： 慣性計測ユニット ,  アンサンブル学習 ,  適応 ,  特徴量 ,  スイミング ,  スタイル ,  分類