ABSTRACT

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.

chapter 1|20 pages

Empowering Human Intelligence

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

chapter 5|30 pages

Artificial Intelligence for Pattern Recognition in Sports

Classifying Actions and Performance Signatures

chapter 6|8 pages

From Classification to Prediction