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Pregled bibliografske jedinice broj: 628177

Modelling of the athlete's training decision support


Havaš, Ladislav; Skočir, Zoran; Medved, Vladimir
Modelling of the athlete's training decision support // Tehnički vjesnik - Technical Gazette: znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 20 (2013), 2; 315-322 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 628177 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modelling of the athlete's training decision support

Autori
Havaš, Ladislav ; Skočir, Zoran ; Medved, Vladimir

Izvornik
Tehnički vjesnik - Technical Gazette: znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku (1330-3651) 20 (2013), 2; 315-322

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

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

Sažetak
In every training process, of the great importance is to generate quality program for athletic preparations. Systematic monitoring of one`s sport performance does not end when program is created. This study shows modeling 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 expert telematic system, which creates an individual program for training of athlete 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 individual enable 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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Kineziologija



POVEZANOST RADA


Projekt / tema
034-0362979-2334 - Automatizirano mjerenje pokreta i ekspertna procjena u studiju lokomocije (Medved, Vladimir, MZOS - )
036-0362027-1638 - Umrežena ekonomija (Skočir, Zoran, MZOS - )
098-0982560-2566 - Mjerenje i karakterizacija podataka iz stvarnog svijeta (Medved-Rogina, Branka, MZOS - )

Ustanove
Kineziološki fakultet, Zagreb,
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Sveučilište Sjever, Koprivnica

Profili:

Avatar Url Vladimir Medved (autor)

Avatar Url Zoran Skočir (autor)

Avatar Url Ladislav Havaš (autor)

Citiraj ovu publikaciju

Havaš, Ladislav; Skočir, Zoran; Medved, Vladimir
Modelling of the athlete's training decision support // Tehnički vjesnik - Technical Gazette: znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 20 (2013), 2; 315-322 (međunarodna recenzija, članak, znanstveni)
Havaš, L., Skočir, Z. & Medved, V. (2013) Modelling of the athlete's training decision support. Tehnički vjesnik - Technical Gazette: znanstveno-stručni časopis tehničkih fakulteta Sveučilišta u Osijeku, 20 (2), 315-322.
@article{article, year = {2013}, pages = {315-322}, keywords = {artificial intelligence, athletic training program, Data Mining, Data Warehouse, expert system, ICT technologies, neural networks, OLAP, ORT, Running Log, training process, VO2max, WEB}, journal = {Tehni\v{c}ki vjesnik - Technical Gazette: znanstveno-stru\v{c}ni \v{c}asopis tehni\v{c}kih fakulteta Sveu\v{c}ili\v{s}ta u Osijeku}, volume = {20}, number = {2}, issn = {1330-3651}, title = {Modelling of the athlete's training decision support}, keyword = {artificial intelligence, athletic training program, Data Mining, Data Warehouse, expert system, ICT technologies, neural networks, OLAP, ORT, Running Log, training process, VO2max, WEB} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus





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