Shu Yano, Kenji Matsuura, Hiroki Tanioka, Hiromu Naito, Naka Gotoda, T. Wada
{"title":"A Supporting System Design for Basketball Offense Tactics","authors":"Shu Yano, Kenji Matsuura, Hiroki Tanioka, Hiromu Naito, Naka Gotoda, T. Wada","doi":"10.1109/IIAI-AAI50415.2020.00049","DOIUrl":null,"url":null,"abstract":"In terms of basketball, a player always decides an option of the next movement what leads to get score. In this research, we propose an environment focusing on a ball holder, who has to select the next action. As a support, our environment visualizes options for the ball holder’s next actions. Furthermore, the positional relationship among players is measured from the coordinate obtained from the game data, and the system caliculates and provides information about how easy to get score. We design such a system with these functions so that the user can learn how to select the next movement.","PeriodicalId":188870,"journal":{"name":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI50415.2020.00049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In terms of basketball, a player always decides an option of the next movement what leads to get score. In this research, we propose an environment focusing on a ball holder, who has to select the next action. As a support, our environment visualizes options for the ball holder’s next actions. Furthermore, the positional relationship among players is measured from the coordinate obtained from the game data, and the system caliculates and provides information about how easy to get score. We design such a system with these functions so that the user can learn how to select the next movement.