| Title: | New perspectives in the development of the artificial sport trainer |
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| Authors: | ID Fister, Iztok (Author)
ID Salcedo-Sanz, Sancho (Author)
ID Iglesias, Andres (Author)
ID Fister, Dušan (Author)
ID Gálvez, Akemi (Author)
ID Fister, Iztok (Author) |
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| Files: |  applsci-11-11452.pdf (407,56 KB)
MD5: 5456AECFC7F745C6B7E7CDECCBE1C161
 https://www.mdpi.com/2076-3417/11/23/11452
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
EPF - Faculty of Business and Economics
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| Abstract: | The rapid development of computer science and telecommunications has brought new
ways and practices to sport training. The artificial sport trainer, founded on computational intelligence algorithms, has gained momentum in the last years. However, artificial sport trainer usually
suffers from a lack of automatisation in realization and control phases of the training. In this study,
the Digital Twin is proposed as a framework for helping athletes, during realization of training
sessions, to make the proper decisions in situations they encounter. The digital twin for artificial
sport trainer is based on the cognitive model of humans. This concept has been applied to cycling,
where a version of the system on a Raspberry Pi already exists. The results of porting the digital twin
on the mentioned platform shows promising potential for its extension to other sport disciplines. |
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| Keywords: | artificial sport trainer, digital twin, cognitive models, computational intelligence |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 15.11.2021 |
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| Article acceptance date: | 28.11.2021 |
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| Publication date: | 03.12.2021 |
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| Publisher: | MDPI |
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| Year of publishing: | 2021 |
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| Number of pages: | 14 str. |
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| Numbering: | Vol. 11, iss. 23 |
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| PID: | 20.500.12556/DKUM-93353  |
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| UDC: | 004.5 |
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| ISSN on article: | 2076-3417 |
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| COBISS.SI-ID: | 100906755 |
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| DOI: | 10.3390/app112311452 |
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| Copyright: | © 2021 by the authors |
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| Publication date in DKUM: | 20.06.2025 |
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| Views: | 134 |
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| Downloads: | 14 |
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| Metadata: |    |
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| Categories: | Misc.
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