Presents recent research on computational intelligence (CI) algorithms in the field of sport
Focuses on individual sports, but also discusses team sports
Highlights CI algorithms used in different phases of athlete’s training sessions for individual disciplines such as marathons, cycling, and triathlons
Part of the book series: Adaptation, Learning, and Optimization (ALO, volume 22)
Buy it now
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, access via your institution.
Table of contents (11 chapters)
Sports Training and Computational Intelligence
Applications of Computational Intelligence in Sports
About this book
Today, sports are virtually the only activity that still connects modern humans to their original lifestyle, which was based on physical motion. This book tears familiarizing sports scientists with the foundations of computational intelligence, while at the same time presenting the problems that have arisen in the training domain to computer scientists.
Lastly, the book proposes the use of an Artificial Sports Trainer designed to enhance the training of modern athletes who cannot afford the considerable expense of hiring a human personal trainer. This intelligent system can monitor performance and design and direct appropriate future training, thus promoting both healthy lifestyles and competitive success in athletes.
- Computational Intelligence
- Sport Training
- Data Mining
Authors and Affiliations
Faculty of Electrical Engineering and Computer Science, University of Maribor, Maribor, Slovenia
Iztok Fister, Iztok Fister Jr.
Faculty of Economics and Business, University of Maribor, Maribor, Slovenia
Book Title: Computational Intelligence in Sports
Authors: Iztok Fister, Iztok Fister Jr., Dušan Fister
Series Title: Adaptation, Learning, and Optimization
Publisher: Springer Cham
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03489-4Published: 18 January 2019
eBook ISBN: 978-3-030-03490-0Published: 17 December 2018
Series ISSN: 1867-4534
Series E-ISSN: 1867-4542
Edition Number: 1
Number of Pages: XV, 277
Number of Illustrations: 10 b/w illustrations, 61 illustrations in colour