Primerjava metod za avtomatsko načrtovanje športnih treningov

magistrsko delo

Tara Gašić (Author), Iztok Fister (Mentor), Izidor Pokrivač (Co-mentor)

Abstract

Ljudje imamo izjemno sposobnost za tek, ki ima na naš organizem tako s psihičnega kot fizičnega vidika blagodejne učinke. Vendar se v sodobnem svetu vse bolj pojavlja problem telesne neaktivnosti in pomanjkanja motivacije. Vzroki so različni, med pomembnejšimi je pomanjkanje znanja o učinkovitem pristopu k športnemu treniranju. Učinkovitega športnega treniranja se lahko lotimo s pomočjo rešitev, ki temeljijo na računski inteligenci. V magistrskem delu smo poiskali in pregledali obstoječe metode, ki omogočajo avtomatsko načrtovanje športnih treningov. Izbrane metode smo med seboj primerjali. Na podlagi primerjave smo izbrali eno obstoječo metodo, jo modificirali in implementirali. Končni rezultat je bil uspešno generiran tekaški športni trening.

Keywords

avtomatsko načrtovanje;računska inteligenca;športni trening;tek;magistrske naloge;

Data

Language:	Slovenian
Year of publishing:	2019
Typology:	2.09 - Master's Thesis
Organization:	UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher:	[T. Gašić]
UDC:	004.8(043.2)
COBISS:	22828054
Views:	595
Downloads:	81
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	A comparison of methods for automatic planning of sport training sessions
Secondary abstract:	We humans have an exceptional ability to run, which has beneficial effects on our body, both psychologically and physically. However, in today's world there is a growing problem of physical inactivity and lack of motivation. The causes are different. One of them is a lack of knowledge of an effective approach to sports training. Effective sports training can be addressed through computational intelligence-based solutions. In the master's thesis we therefore searched for and reviewed the existing methods that enable automatic planning of sports training. Then we made a comparison of the selected methods. Based on the comparison, we selected one existing method, we modified and implemented it. The result was successfully generated running sports training.
Secondary keywords:	automatic planning;computational intelligence;sports training;running;
Type (COBISS):	Master's thesis/paper
Thesis comment:	Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Informatika in tehnologije komuniciranja
Pages:	XI, 81 str.
ID:	11207202