Machine Learning In Team Sports

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Machine Learning in Team Sports

Author : Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Norlaila Azura Kosni,Mohamad Razali Abdullah
Publisher : Springer Nature
Page : 68 pages
File Size : 51,5 Mb
Release : 2020-02-17
Category : Technology & Engineering
ISBN : 9789811532191

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Machine Learning in Team Sports by Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Norlaila Azura Kosni,Mohamad Razali Abdullah Pdf

This brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.

Artificial Intelligence in Sport Performance Analysis

Author : Duarte Araújo,Micael S Couceiro,Ludovic Seifert,Hugo Sarmento,Keith Davids
Publisher : Routledge
Page : 208 pages
File Size : 41,8 Mb
Release : 2021-04-21
Category : Medical
ISBN : 9781000380156

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Artificial Intelligence in Sport Performance Analysis by Duarte Araújo,Micael S Couceiro,Ludovic Seifert,Hugo Sarmento,Keith Davids Pdf

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.

Machine Learning and Data Mining for Sports Analytics

Author : Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann
Publisher : Springer
Page : 179 pages
File Size : 45,6 Mb
Release : 2019-04-06
Category : Computers
ISBN : 9783030172749

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Machine Learning and Data Mining for Sports Analytics by Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann Pdf

This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

The Use of Applied Technology in Team Sport

Author : José Pino-Ortega,Markel Rico-González
Publisher : Routledge
Page : 250 pages
File Size : 45,8 Mb
Release : 2021-07-22
Category : Sports & Recreation
ISBN : 9781000414578

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The Use of Applied Technology in Team Sport by José Pino-Ortega,Markel Rico-González Pdf

The use of technology within sport is well established, most professional sport teams engage in the use of electronic performance and tracking systems. This book is the first to offer a deep and structured examination of these technologies and how they are used in a team sport setting. The Use of Applied Technology in Team Sport describes and assists researchers, academics and professionals with understanding the methodology around applied technology in sport, examining what systems track players’ performance and who are the manufacturers that provide these systems. This new volume goes on to describe how to apply the systems, highlights the ways of reporting analysis information and helps the reader to know and understand the future avenues of research and development. The Use of Applied Technology in Team Sport is considered an essential guide for researchers, academics and students as well as professionals working in the areas of Applied Sport Science, Coaching, and subjects relating to Physiology, Biomechanics, Sports Engineering, Sports Technology and Performance Analysis in Sport.

Machine Learning and Data Mining for Sports Analytics

Author : Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann
Publisher : Springer Nature
Page : 135 pages
File Size : 49,6 Mb
Release : 2023-02-24
Category : Computers
ISBN : 9783031275272

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Machine Learning and Data Mining for Sports Analytics by Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann Pdf

This book constitutes the refereed proceedings of the 9th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2022, held in Grenoble, France, during September 19, 2022. The 10 full papers included in this book were carefully reviewed and selected from 18 submissions. They were organized in topical sections as follows: Football, Racket sports, Cycling.

Data Mining and Machine Learning in High-Performance Sport

Author : Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohamad Razali Abdullah,Garry Kuan,Mohd Azraai Mohd Razman
Publisher : Springer Nature
Page : 63 pages
File Size : 55,6 Mb
Release : 2022-11-05
Category : Technology & Engineering
ISBN : 9789811970498

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Data Mining and Machine Learning in High-Performance Sport by Rabiu Muazu Musa,Anwar P.P. Abdul Majeed,Mohamad Razali Abdullah,Garry Kuan,Mohd Azraai Mohd Razman Pdf

This book explores the application of data mining and machine learning techniques in studying the activity pattern, decision-making skills, misconducts, and actions resulting in the intervention of VAR in European soccer leagues referees. The game of soccer at the elite level is characterised by intense competitions, a high level of intensity, technical, and tactical skills coupled with a long duration of play. Referees are required to officiate the game and deliver correct and indisputable decisions throughout the duration of play. The increase in the spatial and temporal task demands of the game necessitates that the referees must respond and cope with the physiological and psychological loads inherent in the game. The referees are also required to deliver an accurate decision and uphold the rules and regulations of the game during a match. These demands and attributes make the work of referees highly complex. The increasing pace and complexity of the game resulted in the introduction of the Video Assistant Referee (VAR) to assist and improve the decision-making of on-field referees. Despite the integration of VAR into the current refereeing system, the performances of the referees are yet to be error-free. Machine learning coupled with data mining techniques has shown to be vital in providing insights from a large dataset which could be used to draw important inferences that can aid decision-making for diagnostics purposes and overall performance improvement. A total of 6232 matches from 5 consecutive seasons officiated across the English Premier League, Spanish LaLiga, Italian Serie A as well as the German Bundesliga was studied. It is envisioned that the findings in this book could be useful in recognising the activity pattern of top-class referees, that is non-trivial for the stakeholders in devising strategies to further enhance the performances of referees as well as empower talent identification experts with pertinent information for mapping out future high-performance referees.​

Machine Learning in Elite Volleyball

Author : Rabiu Muazu Musa,Anwar P. P. Abdul Majeed,Muhammad Zuhaili Suhaimi,Mohd Azraai Mohd Razman,Mohamad Razali Abdullah,Noor Azuan Abu Osman
Publisher : Springer Nature
Page : 58 pages
File Size : 49,8 Mb
Release : 2021-06-18
Category : Computers
ISBN : 9789811631924

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Machine Learning in Elite Volleyball by Rabiu Muazu Musa,Anwar P. P. Abdul Majeed,Muhammad Zuhaili Suhaimi,Mohd Azraai Mohd Razman,Mohamad Razali Abdullah,Noor Azuan Abu Osman Pdf

This brief highlights the use of various Machine Learning (ML) algorithms to evaluate training and competitional strategies in Volleyball, as well as to identify high-performance players in the sport. Several psychological elements/strategies coupled with human performance parameters are discussed in view to ascertain their impact on performance in elite Volleyball competitions. It presents key performance indicators as well as human performance parameters that can be used in future evaluation of team performance and players. The details outlined in this brief are vital to coaches, club managers, talent identification experts, performance analysts as well as other important stakeholders in the evaluation of performance and to foster improvement in this sport.

The Use of Applied Technology in Team Sport

Author : José Pino-Ortega,Markel Rico-González
Publisher : Taylor & Francis
Page : 258 pages
File Size : 48,8 Mb
Release : 2021-07-22
Category : Sports & Recreation
ISBN : 9781000414547

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The Use of Applied Technology in Team Sport by José Pino-Ortega,Markel Rico-González Pdf

The use of technology within sport is well established, most professional sport teams engage in the use of electronic performance and tracking systems. This book is the first to offer a deep and structured examination of these technologies and how they are used in a team sport setting. The Use of Applied Technology in Team Sport describes and assists researchers, academics and professionals with understanding the methodology around applied technology in sport, examining what systems track players’ performance and who are the manufacturers that provide these systems. This new volume goes on to describe how to apply the systems, highlights the ways of reporting analysis information and helps the reader to know and understand the future avenues of research and development. The Use of Applied Technology in Team Sport is considered an essential guide for researchers, academics and students as well as professionals working in the areas of Applied Sport Science, Coaching, and subjects relating to Physiology, Biomechanics, Sports Engineering, Sports Technology and Performance Analysis in Sport.

Machine Learning in Sports

Author : Rabiu Muazu Musa,Zahari Taha,Anwar P.P.Abdul Majeed,Mohamad Razali Abdullah
Publisher : Springer
Page : 45 pages
File Size : 47,9 Mb
Release : 2018-09-18
Category : Technology & Engineering
ISBN : 9789811325922

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Machine Learning in Sports by Rabiu Muazu Musa,Zahari Taha,Anwar P.P.Abdul Majeed,Mohamad Razali Abdullah Pdf

This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated with a myriad of performance indicators namely bio-physiological, psychological, anthropometric as well as physical fitness. Traditionally, the determination of potential archers is carried out by means of conventional statistical techniques. Nonetheless, such methods often fall short in associating non-linear relationships between the variables. This book explores the notion of machine learning that is capable of mitigating the aforesaid issue. This book is valuable for coaches and managers in identifying potential archers during talent identification programs.​

Computer Science in Sport

Author : Daniel Memmert
Publisher : Springer Nature
Page : 247 pages
File Size : 44,5 Mb
Release : 2024-05-31
Category : Electronic
ISBN : 9783662683132

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Computer Science in Sport by Daniel Memmert Pdf

Machine Learning and Data Mining for Sports Analytics

Author : Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann
Publisher : Springer Nature
Page : 141 pages
File Size : 49,9 Mb
Release : 2020-12-09
Category : Computers
ISBN : 9783030649128

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Machine Learning and Data Mining for Sports Analytics by Ulf Brefeld,Jesse Davis,Jan Van Haaren,Albrecht Zimmermann Pdf

This book constitutes the refereed post-conference proceedings of the 7th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2020, colocated with ECML/PKDD 2020, in Ghent, Belgium, in September 2020. Due to the COVID-19 pandemic the conference was held online. The 11 papers presented were carefully reviewed and selected from 22 submissions. The papers present a variety of topics within the area of sports analytics, including tactical analysis, outcome predictions, data acquisition, performance optimization, and player evaluation.

Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)

Author : Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac
Publisher : Springer Nature
Page : 1061 pages
File Size : 50,5 Mb
Release : 2021-04-15
Category : Technology & Engineering
ISBN : 9783030736897

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Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) by Ajith Abraham,Yukio Ohsawa,Niketa Gandhi,M.A. Jabbar,Abdelkrim Haqiq,Seán McLoone,Biju Issac Pdf

This book highlights the recent research on soft computing and pattern recognition and their various practical applications. It presents 62 selected papers from the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) and 35 papers from the 16th International Conference on Information Assurance and Security (IAS 2020), which was held online, from December 15 to 18, 2020. A premier conference in the field of artificial intelligence, SoCPaR-IAS 2020 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from 40 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of Computer Science and Engineering.

Social Network Analysis Applied to Team Sports Analysis

Author : Filipe Manuel Clemente,Fernando Manuel Lourenço Martins,Rui Sousa Mendes
Publisher : Springer
Page : 93 pages
File Size : 48,6 Mb
Release : 2015-11-06
Category : Technology & Engineering
ISBN : 9783319258553

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Social Network Analysis Applied to Team Sports Analysis by Filipe Manuel Clemente,Fernando Manuel Lourenço Martins,Rui Sousa Mendes Pdf

Explaining how graph theory and social network analysis can be applied to team sports analysis, This book presents useful approaches, models and methods that can be used to characterise the overall properties of team networks and identify the prominence of each team player. Exploring the different possible network metrics that can be utilised in sports analysis, their possible applications and variances from situation to situation, the respective chapters present an array of illustrative case studies. Identifying the general concepts of social network analysis and network centrality metrics, readers are shown how to generate a methodological protocol for data collection. As such, the book provides a valuable resource for students of the sport sciences, sports engineering, applied computation and the social sciences.

Artificial Intelligence in Sport Performance Analysis

Author : Duarte Araújo,Micael Couceiro,Ludovic Seifert,Hugo Sarmento,Keith Davids
Publisher : Routledge
Page : 221 pages
File Size : 55,7 Mb
Release : 2021-04-20
Category : Computers
ISBN : 9781000380125

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Artificial Intelligence in Sport Performance Analysis by Duarte Araújo,Micael Couceiro,Ludovic Seifert,Hugo Sarmento,Keith Davids Pdf

To understand the dynamic patterns of behaviours and interactions between athletes that characterize successful performance in different sports is an important challenge for all sport practitioners. This book guides the reader in understanding how an ecological dynamics framework for use of artificial intelligence (AI) can be implemented to interpret sport performance and the design of practice contexts. By examining how AI methodologies are utilized in team games, such as football, as well as in individual sports, such as golf and climbing, this book provides a better understanding of the kinematic and physiological indicators that might better capture athletic performance by looking at the current state-of-the-art AI approaches. Artificial Intelligence in Sport Performance Analysis provides an all-encompassing perspective in an innovative approach that signals practical applications for both academics and practitioners in the fields of coaching, sports analysis, and sport science, as well as related subjects such as engineering, computer and data science, and statistics.