
Artificial Intelligence in Sport Performance Analysis
Description
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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.
Reviews / Votes
"A unique synthesis of the very latest theoretical and methodological advances to identify and predict the complex patterns and relationships associated with successful sport performance. An essential read for all involved with enhancing the performance of individuals and teams."Mike Court, Head of Recruitment Analysis Manchester United FC, UK
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Persons
Micael Couceiro is Associate Researcher at the Institute of Systems and Robotics, Coimbra, Portugal. He is also co-founder and CEO of the company Ingeniarius.
Ludovic Seifert is Professor of Motor Control and Learning, Deputy Dean of the CETAPS Lab, and Head of the Sport Performance Analysis and Big Data Master's degree at the Faculty of Sport Sciences, University of Rouen Normandie, France.
Hugo Sarmento is Assistant Professor in the Faculty of Sport Sciences and Physical Education, University of Coimbra, Portugal.
Keith Davids is Professor of Motor Learning in the Sport and Human Performance research group, Sheffield Hallam University, UK.
Content
2. How is Artificial Intelligence being Used in the Sport Sciences to Analyse and Support Performance of Athletes and Teams?
3. From Reliable Sources of Big Data to Capturing Sport Performance by Ecophysical Variables
4. Computational Metrics to Inspect the Athletic Performance
5. Artificial Intelligence for Pattern Recognition in Sports: Classifying Actions and Performance Signatures
6. From Classification to Prediction
7. Technology, Artificial Intelligence and the Future of Sport and Physical Activity
References
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