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相关论文: Match Analysis an undervalued coaching tool

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In this second paper on match analysis, we analyze in deep the competition steps showing the evolution of this tool at National Federation level.On the basis of our,first classification. Furthermore, it is the most important source of…

科普物理 · 物理学 2013-08-05 A. Sacripanti

This paper is an ideal continuation of the previous one - How to enhance effectiveness of Direct Attack Judo throws -in it there are analyzed the two following parts of Judo tactics in high level competitions: combination, and…

科普物理 · 物理学 2014-05-09 Attilio Sacripanti

In this paper, for the first time, there is comprehensively tackling the problem of biomechanical optimization of a sport of situation such as judo. Starting from the optimization of more simple sports, optimization of this kind of complex…

科普物理 · 物理学 2016-04-29 Attilio Sacripanti

In this invited lecture the biomechanical analysis of tactical tools utilized by top athletes in high level competition is presented. In the first part, the lecture starts with a very short summary of the researches carried out on…

科普物理 · 物理学 2015-06-08 Attilio Sacripanti

Sports analytics -- broadly defined as the pursuit of improvement in athletic performance through the analysis of data -- has expanded its footprint both in the professional sports industry and in academia over the past 30 years. In this…

应用统计 · 统计学 2023-01-11 Benjamin S. Baumer , Gregory J. Matthews , Quang Nguyen

Sports analysis and viewing play a pivotal role in the current sports domain, offering significant value not only to coaches and athletes but also to fans and the media. In recent years, the rapid development of virtual reality (VR) and…

计算机视觉与模式识别 · 计算机科学 2024-05-03 Wenxuan Guo , Zhiyu Pan , Ziheng Xi , Alapati Tuerxun , Jianjiang Feng , Jie Zhou

Collaborative competitions have gained popularity in the scientific and technological fields. These competitions involve defining tasks, selecting evaluation scores, and devising result verification methods. In the standard scenario,…

机器学习 · 计算机科学 2024-08-22 Sergio Nava-Muñoz , Mario Graff , Hugo Jair Escalante

This paper explores the concept of "momentum" in sports competitions through the use of the TOPSIS model and 0-1 logistic regression model. First, the TOPSIS model is employed to evaluate the performance of two tennis players, with…

计量经济学 · 经济学 2024-09-05 Mingpu Ma

In the competitive realm of sports, optimal performance necessitates rigorous management of nutrition and physical conditioning. Specifically, in badminton, the agility and precision required make it an ideal candidate for motion analysis…

人机交互 · 计算机科学 2024-03-15 Dhruv Toshniwal , Arpit Patil , Nancy Vachhani

The chances to win a football match can be significantly increased if the right tactic is chosen and the behavior of the opposite team is well anticipated. For this reason, every professional football club employs a team of game analysts.…

机器学习 · 计算机科学 2019-10-02 Eric Müller-Budack , Jonas Theiner , Robert Rein , Ralph Ewerth

Game Theory concepts have been successfully applied in a wide variety of domains over the past decade. Sports and games are one of the popular areas of game theory application owing to its merits and benefits in solving complex scenarios.…

计算机科学与博弈论 · 计算机科学 2021-05-26 Ambareesh Ravi , Atharva Gokhale , Anchit Nagwekar

Data analysis is a powerful tool in all experimental sciences. Statistical methods, such as sampling theory, computer technologies necessary for handling large amounts of data, skill in analysing information contained in different types of…

物理教育 · 物理学 2012-06-20 Vera Montalbano

Ranking athletes by their performance in competitions and tournaments is common in every popular sport and has significant benefits that contribute to both the organization and strategic aspects of competitions. Although rankings are…

物理与社会 · 物理学 2025-08-28 Bogdán Asztalos , Boldizsár Balázs , Gergely Palla , Tamás Vicsek

Data analytics in sports is crucial to evaluate the performance of single players and the whole team. The literature proposes a number of tools for both offence and defence scenarios. Data coming from tracking location of players, in this…

应用统计 · 统计学 2019-06-28 Tullio Facchinetti , Rodolfo Metulini , Paola Zuccolotto

Deep learning has the potential to revolutionize sports performance, with applications ranging from perception and comprehension to decision. This paper presents a comprehensive survey of deep learning in sports performance, focusing on…

计算机视觉与模式识别 · 计算机科学 2023-07-10 Zhonghan Zhao , Wenhao Chai , Shengyu Hao , Wenhao Hu , Guanhong Wang , Shidong Cao , Mingli Song , Jenq-Neng Hwang , Gaoang Wang

This study explores strategic considerations in professional golf's Match Play format, challenging the conventional focus on individual performance. Leveraging PGA Tour data, we investigate the impact of factoring in an adversary's…

最优化与控制 · 数学 2024-04-05 Nishad Wajge , Gautier Stauffer

Individual sports competitions provide a natural setting for examining the relative importance of talent and luck/chance in achieving success. The belief that success is primarily due to individual abilities and hard work rather than…

物理与社会 · 物理学 2023-11-14 Chiara Zappalá , Alessio Emanuele Biondo , Alessandro Pluchino , Andrea Rapisarda

In team-based invasion sports such as soccer and basketball, analytics is important for teams to understand their performance and for audiences to understand matches better. The present work focuses on performing visual analytics to…

人工智能 · 计算机科学 2019-07-03 Kun Zhao , Takayuki Osogami , Tetsuro Morimura

Scheduling a sports tournament is a complex optimization problem, which requires a large number of hard constraints to satisfy. Despite the availability of several such constraints in the literature, there remains a gap since most of the…

Sports analytics has been an up-and-coming field of research among professional sporting organizations and academic institutions alike. With the insurgence and collection of athlete data, the primary goal of such analysis is to improve…

计算机视觉与模式识别 · 计算机科学 2022-08-12 T. J. Woinoski , I. V. Bajic
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