Skill grouping method: Mining and clustering skill differences from body movement BigData

Shinichi Yamagiwa, Yoshinobu Kawahara, Noriyuki Tabuchi, Yoshinobu Watanabe, Takeshi Naruo

研究成果: 著書/レポートタイプへの貢献会議での発言

3 引用 (Scopus)

抜粋

Capturing human movement has become available in detail due to the advancement of motion sensor technology integrated by micro-machine and also due to the one of optical recording by high speed and high resolution image sensors. Therefore, we can easily record the human activity as the body movement BigData and analyze it to quest skill to become an expert of a target body movement. Especially, in the sports activity, the quest for becoming an expert athlete has been tried by using a mathematical model of an ideal body movement experienced from the biomechanics approach. The skill is discussed by comparing the differences from the predicted coordinates of body parts captured during the target performance. However, the approach potentially includes difficulties such as modeling the body control from the dynamics system for all human movements. And also the approach needs for adjusting jitters of the individual characteristics. Therefore, when applying the conventional approach, we must discuss a huge number of combinations of mathematical models and then we would find a model for the ideal body movement. To overcome the difficulty, this paper proposes an approach to visualize skill differences among experts and beginners from the BigData called the skill grouping method. It exploits the skill groups clustered by machine learning approach based on a kernel method. This paper shows applications of the skill grouping method from sports activities. Those show validities for finding the skill differences comparing to the BigData of skillful athletes, and also the one for managing skill transition of an athlete in a timeline.

元の言語英語
ホスト出版物のタイトルProceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015
編集者Feng Luo, Kemafor Ogan, Mohammed J. Zaki, Laura Haas, Beng Chin Ooi, Vipin Kumar, Sudarsan Rachuri, Saumyadipta Pyne, Howard Ho, Xiaohua Hu, Shipeng Yu, Morris Hui-I Hsiao, Jian Li
出版者Institute of Electrical and Electronics Engineers Inc.
ページ2525-2534
ページ数10
ISBN(電子版)9781479999255
DOI
出版物ステータス出版済み - 12 22 2015
外部発表Yes
イベント3rd IEEE International Conference on Big Data, IEEE Big Data 2015 - Santa Clara, 米国
継続期間: 10 29 201511 1 2015

出版物シリーズ

名前Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015

会議

会議3rd IEEE International Conference on Big Data, IEEE Big Data 2015
米国
Santa Clara
期間10/29/1511/1/15

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Software

これを引用

Yamagiwa, S., Kawahara, Y., Tabuchi, N., Watanabe, Y., & Naruo, T. (2015). Skill grouping method: Mining and clustering skill differences from body movement BigData. : F. Luo, K. Ogan, M. J. Zaki, L. Haas, B. C. Ooi, V. Kumar, S. Rachuri, S. Pyne, H. Ho, X. Hu, S. Yu, M. H-I. Hsiao, ... J. Li (版), Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015 (pp. 2525-2534). [7364049] (Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigData.2015.7364049