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Title:Digital twins in sport : concepts, taxonomies, challenges and practical potentials
Authors:ID Hliš, Tilen (Author)
ID Fister, Iztok (Author)
ID Fister, Iztok (Author)
Files:.pdf 1-s2.0-S0957417424019717-main.pdf (4,08 MB)
MD5: A5C2066E5AE0699E3CC69048D40DB82C
 
URL https://www.sciencedirect.com/science/article/pii/S0957417424019717?via%3Dihub
 
Language:English
Work type:Article
Typology:1.02 - Review Article
Organization:FERI - Faculty of Electrical Engineering and Computer Science
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:artificial intelligence, digital twin, machine learning, optimization, sports, sport science
Publication status:Published
Publication version:Version of Record
Submitted for review:08.06.2024
Article acceptance date:12.08.2024
Publication date:27.08.2024
Publisher:Elsevier
Year of publishing:2024
Number of pages:15 str.
Numbering:Vol. 258, [article no.] 125104
PID:20.500.12556/DKUM-90448-0417dd76-1383-5c8e-df5a-e14434f0ec80 New window
UDC:004.8
ISSN on article:1873-6793
COBISS.SI-ID:206255363 New window
DOI:10.1016/j.eswa.2024.125104 New window
Copyright:© 2024 The Author(s)
Publication date in DKUM:04.09.2024
Views:644
Downloads:161
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Expert systems with applications
Publisher:Elsevier
ISSN:1873-6793
COBISS.SI-ID:23001861 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0041
Name:Računalniški sistemi, metodologije in inteligentne storitve

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0057
Name:Informacijski sistemi

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:Slovenian
Keywords:digitlani dvojčki, umetna inteligenca, strojno učenje, optimizacija, šport


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