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New perspectives in the development of the artificial sport trainer

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.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Applied Sciences 2021, 11, 23, 11452

Editorial: MDPI

 Año de publicación: 2021

Nº de páginas: 14

Tipo de publicación: Artículo de Revista

 DOI: 10.3390/app112311452

ISSN: 2076-3417

Proyecto español: TIN2017-89275-R

Proyecto europeo: info:eu-repo/grantAgreement/EC/H2020/778035/EU/PDE-based geometric modelling, image processing, and shape reconstruction/PDE-GIR/

Url de la publicación: https://doi.org/10.3390/app112311452