Teaching System of Judgment Basis Using Neural Network on Predicting Kick Direction in Football
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- Honda Takumi
- Graduate School of Information Science and Technology, the University of Tokyo
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- Saito Hiroto
- RCAST, the University of Tokyo
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- Wakisaka Sohei
- RCAST, the University of Tokyo Graduate School of Media Design, Keio University
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- Inami Masahiko
- RCAST, the University of Tokyo
Bibliographic Information
- Other Title
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- サッカーでのキック方向予測におけるニューラルネットワークを用いた判断根拠の教示システム
Description
<p>In sports, it is essential to accurately predict the results of others’ actions based on the movements’ characteristics and respond appropriately to them. Previous studies have proposed systems that predict motions using machine learning and present these results to users. However, it remains unclear whether the judgment basis constructed by machine learning is useful for humans to predict movements accurately. This study developed a Neural Network that predicted the kicking direction of soccer penalty kicks and extracted the basis. Also, we tested whether the extracted basis was useful for participants in their predictions. The results showed that participants perceived the extracted basis as valid, even though they had not used it as a strategy at first.</p>
Journal
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- Transactions of the Virtual Reality Society of Japan
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Transactions of the Virtual Reality Society of Japan 27 (4), 393-402, 2022-12-28
THE VIRTUAL REALITY SOCIETY OF JAPAN
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Details 詳細情報について
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- CRID
- 1390857523691032576
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- ISSN
- 24239593
- 1344011X
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed