Digital twins in sport

concepts, taxonomies, challenges and practical potentials

Tilen Hliš (Author), Iztok Fister (Author), Iztok Fister (Author)

Abstract

Digital twins belong to ten of the strategic technology trends according to the Gartner list from 2019, and have encountered a big expansion, especially with the introduction of Industry 4.0. Sport, on the other hand, has become a constant companion of the modern human suffering a lack of a healthy way of life. The application of digital twins in sport has brought dramatic changes not only in the domain of sport training, but also in managing athletes during competitions, searching for strategical solutions before and tactical solutions during the games by coaches. In this paper, the domain of digital twins in sport is reviewed based on papers which have emerged in this area. At first, the concept of a digital twin is discussed in general. Then, taxonomies of digital twins are appointed. According to these taxonomies, the collection of relevant papers is analyzed, and some real examples of digital twins are exposed. The review finishes with a discussion about how the digital twins affect changes in the modern sport disciplines, and what challenges and opportunities await the digital twins in the future.

Keywords

digitlani dvojčki;umetna inteligenca;strojno učenje;optimizacija;šport;artificial intelligence;digital twin;machine learning;optimization;sports;sport science;

Data

Language:	English
Year of publishing:	2024
Typology:	1.02 - Review Article
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	Elsevier
UDC:	004.8
COBISS:	206255363
ISSN:	1873-6793
Views:	43
Downloads:	1
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	Slovenian
Secondary keywords:	digitlani dvojčki;umetna inteligenca;strojno učenje;optimizacija;šport;
Type (COBISS):	Article
Pages:	15 str.
Issue:	ǂVol. ǂ258, [article no.] 125104
Chronology:	1 Dec. 2024
DOI:	10.1016/j.eswa.2024.125104
ID:	24901815