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System for monitoring and advanced analysis of handball matches

机译:监视和高级分析手球比赛的系统

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摘要

This paper is the result of a research project carried out by three teams of bachelor and master programme students. The research analyzes the possibility and usability of connecting different technologies. The project resulted in a system prototype based on a web application with a relational database, mobile application using a CouchDB database and data warehouse for business intelligence purposes. The three parts of the system communicate through a web service based on a node.js environment and MongoDB database. The developed system provides real-time reporting that helps decision making during handball matches and, by using online analytical processing and data mining, detailed post-match data analysis. The advanced handball statistics system offers a complete perspective of match dynamics and cumulative player and team efficiency by game segments in the time domain. This way it provides coaches with highly usable data, allowing the analysis and adaptation of training methods, coupled with efficient game dynamics monitoring and the detection of players' behavioral patterns during matches. Finally, the paper presents the challenges concerning distributed software development in the team with various levels of member's knowledge, teamwork and organization.
机译:本文是由三个学士和硕士课程团队进行的研究项目的结果。该研究分析了连接不同技术的可能性和可用性。该项目产生了一个基于带有关系数据库的Web应用程序,使用CouchDB数据库的移动应用程序和用于商业智能目的的数据仓库的系统原型。系统的三个部分通过基于node.js环境和MongoDB数据库的Web服务进行通信。开发的系统提供实时报告,有助于在手球比赛期间做出决策,并通过使用在线分析处理和数据挖掘来进行详细的赛后数据分析。先进的手球统计系统提供了比赛动态以及时域中各游戏环节的累积球员和球队效率的完整视角。通过这种方式,它为教练提供了高度可用的数据,允许对训练方法进行分析和调整,并进行有效的游戏动态监控以及比赛中球员行为模式的检测。最后,本文提出了在具有不同级别的成员知识,团队合作和组织能力的团队中进行分布式软件开发所面临的挑战。

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