M. Oproescu, Ion Mihaila, N. Bizon, Dumitru Tudosoiu, Vasile-Gabriel Iana, Leonard Julien Fleancu, F. Cojanu, V. Potop, M. Ilie, Daniela Corina Popescu
{"title":"Detection and Analysis of Motricity and Somato-Functional Indices of 3X3 Basketball Players to Customize Sports Training","authors":"M. Oproescu, Ion Mihaila, N. Bizon, Dumitru Tudosoiu, Vasile-Gabriel Iana, Leonard Julien Fleancu, F. Cojanu, V. Potop, M. Ilie, Daniela Corina Popescu","doi":"10.1109/ECAI58194.2023.10194186","DOIUrl":null,"url":null,"abstract":"In the game of basketball in general and in the game of 3x3 basketball, the emphasis is on general physical training and not on specific training, thus allowing the players to have a multilateral training. In order to facilitate the players' positional specialization, the paper aims to improve the body's main functions, allowing adaptation to effort and, at the same time, optimizing athletes' performances. The research that represents the premises of this paper is based on motricity, somato-functional and medical evidence and aims to identify, using predictive and corrective techniques with artificial intelligence (AI), the factors that contribute to the development of an adaptive sports training model for basketball players 3X3. Thus, the goal is to optimize the performance of 3X3 basketball players. By adapting the acquisition of somato-functional and motricity indices respectively, the training model can be applied in other individual or team sports.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECAI58194.2023.10194186","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 the game of basketball in general and in the game of 3x3 basketball, the emphasis is on general physical training and not on specific training, thus allowing the players to have a multilateral training. In order to facilitate the players' positional specialization, the paper aims to improve the body's main functions, allowing adaptation to effort and, at the same time, optimizing athletes' performances. The research that represents the premises of this paper is based on motricity, somato-functional and medical evidence and aims to identify, using predictive and corrective techniques with artificial intelligence (AI), the factors that contribute to the development of an adaptive sports training model for basketball players 3X3. Thus, the goal is to optimize the performance of 3X3 basketball players. By adapting the acquisition of somato-functional and motricity indices respectively, the training model can be applied in other individual or team sports.