Artificial Intelligence in Sport Performance Analysis

Regular price €179.80
A01=Duarte Araujo
A01=Hugo Sarmento
A01=Keith Davids
A01=Ludovic Seifert
A01=Micael Couceiro
AI-driven sports performance research
Artificial intelligence
athletic performance
Author_Duarte Araujo
Author_Hugo Sarmento
Author_Keith Davids
Author_Ludovic Seifert
Author_Micael Couceiro
Average Velocity Magnitude
Big Data
Category=S
Category=UYQ
Clustering Coefficient
Computational Metrics
data acquisition
Data Analysis
ecological dynamics
EMG Signal
Ensemble Classification Methods
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_sports-fitness
Goal Attempts
Golf Putting
HMM
Hz Gps
Inertial Measurement Units
kinematic indicators
Low False Discovery Rates
Markerless Motion Capture
Motion Capture Systems
movement coordination analysis
Notational Analysis
Offensive Triangles
Perception Action Coupling
Performance analysis
physiological metrics
Portuguese Football Federation
RMSE Value
RNN
Sample Entropy
Sequence Classification
sports data modeling
Supervised Machine Learning
SVM
team sports analytics
Vice Versa

Product details

  • ISBN 9780367254360
  • Weight: 570g
  • Dimensions: 152 x 229mm
  • Publication Date: 21 Apr 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.