Original scientific paper

Modelling of the athlete's training decision support

Ladislav Havaš orcid.org/0000-0002-5051-4486 ; Polytechnic of Varaždin, Križanićeva 33, 42000 Varaždin, Croatia
Zoran Skočir ; University of Zagreb, Faculty of Electrical Engineering and Computing, Unska 3, 10000 Zagreb, Croatia
Vladimir Medved orcid.org/0000-0002-8298-5602 ; University of Zagreb, Faculty of Kinesiology, Horvaćanski zavoj 15, 10000 Zagreb, Croatia

Abstract

In every training process it is of great importance to generate a quality program for athletic preparations. Systematic monitoring of an athlete’s sport performance does not end when the program is created. This study shows modelling of athlete’s training decision support. Based on created data model and with the application of ICT technologies, in this paper is presented the development of an expert telematic system, which creates an individual program for the training of athletes considering his/her current abilities and potentials, together with his/her maximal aerobic capacity, VO2max factor. Inputting proper training and feedback information in database and in Data Warehouse of this system allows the program to conduct OLAP and Data Mining of the achieved results. Prompt divulgation of symptoms that indicate over(under)training of an individual enables the system to modify the training process in real time. In that way athletes can perform better and the chances for injury/trauma and for inadequate results are reduced.

Keywords

artificial intelligence; athletic training program; Data Mining; Data Warehouse; expert system; ICT technologies; neural networks; OLAP; ORT; Running Log; training process; VO2max; WEB

Hrčak ID:

100253

URI

https://hrcak.srce.hr/100253

Publication date:

15.4.2013.

Article data in other languages: croatian

Visits: 2.402 *