| Title: | OS21-1 Analysis of Team Relationship using Self-Organizing Map for University Volleyball Players |
|---|---|
| Publication: | ICAROB2018 |
| Volume: | 23 |
| Pages: | 744-748 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2018.OS21-1 |
| Author(s): | Yasunori Takemura, Kazuya Oda, Michiyoshi Ono |
| Publication Date: | February 2, 2018 |
| Keywords: | Self-Organizing Maps, pattern recognize, sports science |
| Abstract: | In Japan, sports efforts are actively being carried out to host the 2020 Olympic games. Especially in the field of sports science, researches on ergonomics, development of sports equipment and pattern recognition technology using artificial intelligence are actively researched. In previous research, we developed a clustering algorithm for positioning adaptation and relationships in team sports using Self-Organizing Maps in university rugby players. However, I have not yet confirmed whether the developed algorithm can be applied to other team sports. For this reason, we applied the same algorithm to an university volleyball player. Then, as an algorithm, we verify whether it can be generally used for team sports. |
| PDF File: | https://alife-robotics.co.jp/members2018/icarob/data/html/data/OS_pdf/OS21/OS21-1.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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