Computational intelligence algorithms for the development of an Artificial Sport Trainer
Abstract
This paper presents a short summary of doctoral thesis that proposes the use of computational intelligence algorithms for the development of an Artificial Sport Trainer.References
Andries P Engelbrecht. Computational intel-
ligence: an introduction. John Wiley & Sons,
Iztok Fister, Karin Ljubič, Ponnuthurai Na-
garatnam Suganthan, and Matjaž Perc. Com-
putational intelligence in sports: challenges
and opportunities within a new research do-
main. Applied Mathematics and Computation,
:178–186, 2015.
Iztok Fister Jr. Algoritmi računske inteligence
za razvoj umetnega športnega trenerja. Doc-
toral thesis, University of Maribor, Slovenia,
Iztok Fister Jr, Xin-She Yang, Iztok Fister,
Janez Brest, and Dušan Fister. A brief re-
view of nature-inspired algorithms for opti-
mization. arXiv preprint arXiv:1307.4186,
Hristo Novatchkov and Arnold Baca. Machine
learning methods for the automatic evaluation
of exercises on sensor-equipped weight train-
ing machines. Procedia Engineering, 34:562–
, 2012.
Hristo Novatchkov and Arnold Baca. Artifi-
cial intelligence in sports on the example of
weight training. Journal of sports science &
medicine, 12(1):27, 2013.
Hristo Novatchkov and Arnold Baca. Fuzzy
logic in sports: a review and an illustrative
case study in the field of strength training.
International Journal of Computer Applica-
tions, 71(6), 2013.
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright in their work. By submitting to and publishing with Informatica, authors grant the publisher (Slovene Society Informatika) the non-exclusive right to publish, reproduce, and distribute the article and to identify itself as the original publisher.
All articles are published under the Creative Commons Attribution license CC BY 3.0. Under this license, others may share and adapt the work for any purpose, provided appropriate credit is given and changes (if any) are indicated.
Authors may deposit and share the submitted version, accepted manuscript, and published version, provided the original publication in Informatica is properly cited.







