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
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 statisticsHinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
1. Empowering Human Intelligence: The Ecological Dynamics Approach to Big Data and Artificial Intelligence in Sport Performance Preparation 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
1. Empowering Human Intelligence: The Ecological Dynamics Approach to Big Data and Artificial Intelligence in Sport Performance Preparation 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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