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首页> 外文会议>International Conference on Computing Methodologies and Communication >Player Performance Analysis in Sports: with Fusion of Machine Learning and Wearable Technology
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Player Performance Analysis in Sports: with Fusion of Machine Learning and Wearable Technology

机译：运动运动员性能分析：机器学习和可穿戴技术的融合

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摘要

Sports are the most important recreational activity. Sports are of many types. Some may be played individually, while some are played in teams. Every country wants to get fame at the global level in different sports. In order to achieve fame, countries are investing in sports and games to enhance the performance of their teams and players. Many people are involved in the analysis of the performances in a sport like notational analyst, who make strategies and tactics for a game; bio-mechanist, who takes the responsibility of fitness of players and tries to get extraordinary results; team managers and coaches. With the advent of machine learning in sports, there is a lot of improvement in the analysis of performances. In mere future, the teams may not have coaches to analyze their performances. In this paper, I am going to discuss about the analysis role of machine learning in the improvement of performances of players and the team in different sports and how the wearable technology helps the players to know their performance levels and further improvements.
机译：运动是最重要的娱乐活动。运动有很多类型。有些人可以单独播放，而有些人在团队中播放。每个国家都希望在不同运动的全球层面获得名声。为了实现成名，各国正在投资体育和游戏，以提高他们的团队和球员的表现。许多人参与分析了符号的诠释分析师，他为游戏做出策略和策略;生物学家，谁负责球员的健身，并试图获得非凡的结果;团队经理和教练。随着体育运动机的出现，对表演的分析有很多改善。在未来的情况下，团队可能没有教练分析他们的表演。在本文中，我将讨论机器学习在改进玩家和团队中的分析角色以及不同运动的团队以及可穿戴技术如何帮助玩家了解他们的性能水平和进一步改进。

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