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, sport science as well as related subjects such as engineering, mathematics and statistics

Autorentext

Duarte Araújo is Associate Professor and Head of CIPER - Interdisciplinary Centre for the Study of Human Performance - and Director of the Laboratory of Expertise in Sport in the Faculty of Human Kinetics at the University of Lisbon, Portugal.

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.

Klappentext

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.

Inhalt

Empowering Human Intelligence: The Ecological Dynamics Approach to Big Data and Artificial Intelligence in Sport Performance Preparation

How is Artificial Intelligence being Used in the Sport Sciences to Analyse and Support Performance of Athletes and Teams?
From Reliable Sources of Big Data to Capturing Sport Performance by Ecophysical Variables
Computational Metrics to Inspect the Athletic Performance
Artificial Intelligence for Pattern Recognition in Sports: Classifying Actions and Performance Signatures
From Classification to Prediction
Technology, Artificial Intelligence and the Future of Sport and Physical Activity
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