Data Mining And Machine Learning In High Performance Sport

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Data Mining And Machine Learning In High Performance Sport

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Author : Rabiu Muazu Musa
language : en
Publisher: Springer Nature
Release Date : 2022-11-05

Data Mining And Machine Learning In High Performance Sport written by Rabiu Muazu Musa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-05 with Technology & Engineering categories.

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 And Data Mining For Sports Analytics

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Author : Ulf Brefeld
language : en
Publisher: Springer Nature
Release Date : 2024-02-25

Machine Learning And Data Mining For Sports Analytics written by Ulf Brefeld and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-25 with Computers categories.

This book constitutes the refereed proceedings of the 10th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2023, held in Turin, Italy, in September 2023. The 16 full papers included in this book were carefully reviewed and selected from 31 submissions. They were organized in topical sections as follows: Football/Soccer, Basketball, Other team sports, Individual sports.

Artificial Intelligence And Machine Learning In Sports Science

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Author : Daniel Memmert
language : en
Publisher: Springer Nature
Release Date : 2025-08-22

Artificial Intelligence And Machine Learning In Sports Science written by Daniel Memmert and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-22 with Sports & Recreation categories.

This professional book is one of the first book publications providing a comprehensive overview of how artificial intelligence (AI) and machine learning (ML) are used in the context of sports science research and sports practice. In addition to the basics of AI and ML, various applications are described, including self-learning algorithms for analyzing athletes' movement patterns and intelligent wearables that provide real-time data. By integrating big data, game results, fitness parameters and individual performance can be analyzed in detail, leading to new developments in research. There are many opportunities for future research activities, e.g. performance analysis to prevent injuries and personalized training methods. More than 25 experts help to cover a wide range of topics related to AI and ML and concisely summarize the latest state of research. Various topics are clustered in overarching book sections, including general basics, metrics in team sports, metrics in individual sports and applications in sports science. An outlook also addresses ethical issues concerning the use of AI and ML in sport and their responsible application. Overall, professionals and researchers in the fields of sports informatics, sports technology, exercise science and sports medicine are provided with a comprehensive reference work with practical examples of an innovative field of research.

Sports Analytics

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Author : A Mansurali
language : en
Publisher: Springer Nature
Release Date : 2024-09-23

Sports Analytics written by A Mansurali and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-23 with Technology & Engineering categories.

In "Sports Analytics: Data-Driven Sports and Decision Intelligence," embark on a journey through the exhilarating world of sports enhanced by the power of data-driven insights. From the nail-biting moments on the field to the strategic decisions behind the scenes, this comprehensive guide unveils the secrets that propel teams to victory and champions to greatness.It explores the cutting-edge techniques and methodologies that revolutionize the way we understand and analyze sports performance. From player evaluations to game strategies, injury prevention to fan engagement, this book equips you with the tools to gain a competitive edge in any sport. Whether you're a coach, player, analyst, or simply a passionate fan, this book will change the way you see the game. This book details how to use analytics and machine learning to highlight key performance indicators (KPIs) of sports for analysis. The authors show how to apply various statistical techniques, machine learning and data mining algorithms for on-field and off-field analysis. They go on to show how analytical algorithms are used in the sports ecosystem to derive solutions for the team and leadership, helping team managers and coaches to monitor games and player information through dashboards. The book then shows how to deploy machine learning algorithms for validating and improving teams and players performance. The book is relevant to professionals and academics working in machine learning and data analysis related to sports.

13th World Congress Of Performance Analysis Of Sport And 13th International Symposium On Computer Science In Sport

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Author : Arnold Baca
language : en
Publisher: Springer Nature
Release Date : 2023-07-12

13th World Congress Of Performance Analysis Of Sport And 13th International Symposium On Computer Science In Sport written by Arnold Baca and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-12 with Technology & Engineering categories.

This book discovers the latest research and insights in sports performance analysis and computer science in sports with the 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport joint conference proceedings. This comprehensive book features over 40 peer-reviewed scientific works, showcasing the latest developments in these areas. The book covers a wide range of topics, including data analytics in sports, performance tracking and monitoring, artificial intelligence and machine learning in sports, virtual and augmented reality in sports, sensor technology, sports biomechanics, and motor control. By reading this book, you'll gain a deeper understanding of how applied and research-based problems can, together, transform the world of sports, and how you can stay ahead of the curve in this rapidly evolving field. This means that whether you're a researcher, coach, athlete, or sports enthusiast, there is something for everyone in this book.

Machine Learning In Team Sports

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Author : Rabiu Muazu Musa
language : en
Publisher: Springer Nature
Release Date : 2020-02-17

Machine Learning In Team Sports written by Rabiu Muazu Musa and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Technology & Engineering categories.

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.

The 2021 International Conference On Smart Technologies And Systems For Internet Of Things

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Author : Ishfaq Ahmad
language : en
Publisher: Springer Nature
Release Date : 2022-07-02

The 2021 International Conference On Smart Technologies And Systems For Internet Of Things written by Ishfaq Ahmad and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-02 with Technology & Engineering categories.

This book contains papers presented at the 2021 International Conference on Smart Technologies and Systems for Internet of Things, held on November 26–27, 2021, in Shanghai, China. It covers topics like distributed processing for sensor data in CPS networks, approximate reasoning and pattern recognition for CPS networks, distributed processing in mobile networking, data analytics for social media sensor data integration, data platforms for efficient integration with CPS networks, virtualized and cloud-oriented resources for data processing for CPS networks, machine learning algorithms for CPS networks, data security and privacy in CPS networks, sensor fusion algorithms, sensor signal processing, data acquisition and preprocessing technology, intelligent computing, data mining methods and algorithms, big data system solutions and tools platform, intelligent control and intelligent management, and operational situation awareness utilizing big data-driven intelligence. It caters to postgraduate students, researchers, and practitioners specializing and working in related areas.

Artificial Intelligence In Sport Performance Analysis

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Author : Duarte Araújo
language : en
Publisher: Routledge
Release Date : 2021-04-20

Artificial Intelligence In Sport Performance Analysis written by Duarte Araújo and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-20 with Computers categories.

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.

Data Mining And Machine Learning In High Performance Sport

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Author : Rabiu Muazu Musa
language : en
Publisher:
Release Date : 2022

Data Mining And Machine Learning In High Performance Sport written by Rabiu Muazu Musa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Computational intelligence categories.

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.

Wearable Sensor Technology For Monitoring Training Load And Health In The Athletic Population

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Author : Billy Sperlich
language : en
Publisher: Frontiers Media SA
Release Date : 2020-02-13

Wearable Sensor Technology For Monitoring Training Load And Health In The Athletic Population written by Billy Sperlich and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-13 with categories.

Several internal and external factors have been identified to estimate and control the psycho-biological stress of training in order to optimize training responses and to avoid fatigue, overtraining and other undesirable health effects of an athlete. An increasing number of lightweight sensor-based wearable technologies (“wearables”) have entered the sports technology market. Non-invasive sensor-based wearable technologies could transmit physical, physiological and biological data to computing platform and may provide through human-machine interaction (smart watch, smartphone, tablet) bio-feedback of various parameters for training load management and health. However, in theory, several wearable technologies may assist to control training load but the assessment of accuracy, reliability, validity, usability and practical relevance of new upcoming technologies for the management of training load is paramount for optimal adaptation and health.