Research for Pass Matchup Analysis Considering Movement Records in American Football
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- TANAKA Chihiro
- Graduate School of Informatics, Kansai University
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- YAMAMOTO Yuhei
- Faculty of Information Science and Technology,
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- JIANG Wenyuan
- Organization for Research and Development of Innovative Science and Technology, Kansai University
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- TANAKA Shigenori
- Faculty of Informatics, Kansai University
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- NAKAMURA Kenji
- Faculty of Information Technology and Social Sciences,
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- NAKAJIMA Shinsuke
- Faculty of Information Science and Engineering,
Bibliographic Information
- Other Title
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- アメリカンフットボールのパスプレーの移動履歴を考慮したマッチアップ分析に関する研究
- アメリカンフットボール ノ パスプレー ノ イドウ リレキ オ コウリョ シタ マッチアップ ブンセキ ニ カンスル ケンキュウ
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Description
<p>Japan Sports Agency aims at supporting distinguished performance of national members of Japan from a scientific aspect in the prioritized policy concerning improvement in international athletic ability. Focusing on the field sports, we have been developing a system for visualizing athletes’ plays using the GNSS sensor. In particular, we have been performing a research on matchup analysis of pass plays with a focus on American football. The aim of the research was to decide whether a pass is completed or incompleted by deep learning, using trajectory images of matchup of QB, WR, and DB. However, since only the track information of the finished plays was used, it failed to obtain information perceived during the play, for example, prediction of the completed pass probability during the play, or information that enables directing timely choice or modification of action from the side line during the game based on the prediction values. In this research, we attempt to predict completion probability during plays by using track information that takes into account the time term. In experiments, we made analysis of quick passes, short passes, and long passes to demonstrate its usefulness.</p>
Journal
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- Journal of Japan Society for Fuzzy Theory and Intelligent Informatics
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Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 32 (1), 580-589, 2020-02-15
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390002184875526656
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- NII Article ID
- 130007798541
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- NII Book ID
- AA1181479X
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- ISSN
- 18817203
- 13477986
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- NDL BIB ID
- 030267088
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed