Artificial intelligence in sport performance analysis / Duarte Araujo, Micael Couceiro, Ludovic Seifert, Hugo Sarmento, and Keith Davids.
Material type:
TextPublisher: London : Routledge, 2021Description: 1 online resource illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 1000380122; 9781000380125; 9781000380156; 1000380157; 9781003163589; 1003163580Subject(s): Artificial intelligence | MEDICAL / Biostatistics | COMPUTERS / Information Technology | COMPUTERS / Data Processing / GeneralDDC classification: 006.3 LOC classification: Q335 | .A735 2021Online resources: Taylor & Francis | OCLC metadata license agreement Summary: 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 inindividual 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.
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 inindividual 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.
OCLC-licensed vendor bibliographic record.