Abstract
The rapid transformation of our communities and our way of life due to modern technologies has impacted sports as well. Artificial intelligence, computational intelligence, data mining, the Internet of Things (IoT), and machine learning have had a profound effect on the way we do things. These technologies have brought changes to the way we watch, play, compete, and also train sports. What was once simply training is now a combination of smart IoT sensors, cameras, algorithms, and systems just to achieve a new peak: The optimum one. This paper provides a systematic literature review of smart sport training, presenting 109 identified studies. Intelligent data analysis methods are presented, which are currently used in the field of Smart Sport Training (SST). Sport domains in which SST is already used are presented, and phases of training are identified, together with the maturity of SST methods. Finally, future directions of research are proposed in the emerging field of SST.
Highlights
The rapid development of Information Technologies (IT) has had an impact on almost all areas of our lives
All the results were inspected on all databases except for Google Scholar, where the results were shown by relevancy, and the search was stopped once there were no more included studies on two successful pages −20 results, and this criteria was satisfied after 270 inspected results
We reviewed the latest advances in the development and use of intelligent data analysis methods in the domain of sport training
Summary
The rapid development of Information Technologies (IT) has had an impact on almost all areas of our lives. Sport training is not an exception, and is an interesting area, where modern technology is revolutionizing the way athletes maximize their performance and compete on a higher level than ever before. Smart Sport Training (SST) is a type of sports training, which utilizes the use of wearables, sensors, and Internet of Things (IoT) devices, and or intelligent data analysis methods and tools to improve training performance and/or reduce workload, while maintaining the same or better training performance.
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call