2017 Fiscal Year Final Research Report
Statistical Modeling for large-scale sports data
| Project/Area Number |
15K00054
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Chuo University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
山口 和範 立教大学, 経営学部, 教授 (60230348)
渡辺 美智子 慶應義塾大学, 健康マネジメント研究科(藤沢), 教授 (50150397)
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| Co-Investigator(Renkei-kenkyūsha) |
TAMURA Yoshiyasu 統計数理研究所, 統計思考院, 特任教授 (60150033)
TAKEUCHI Akinobu 実践女子大学, 人間社会学部, 教授 (60339596)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Keywords | スポーツ統計科学 |
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| Outline of Final Research Achievements |
Large-scale and complex data, e.g., tracking (trajectory) data of players and ball, are collected in several sports such as soccer and baseball. The importance of data and their use is increasing. In this study, we established some statistical methods and obtain useful knowledge by using trajectory data. Especially, we have developed a statistical analysis of medial collateral ligament injury using baseball tracking data, and automatic tagging methods for soccer tracking data.
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| Free Research Field |
統計科学
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