Abstract
The artificial sports trainer bases on CI algorithms for enriching knowledge from data in databases that are obtained from sports activity datasets. These datasets are generated by wearable mobile devices (e.g., sports watches and smart phones) during sports training sessions. Indeed, the artificial sports trainer serves as an intelligent system capable of both knowledge discovery from data and decision-making based on these inputs. Thus, it automates the tasks of the real sports trainer in disciplines where a lot of data are generated by wearable mobile devices.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Fister Jr., I., Ljubič, K., Suganthan, P.N., Perc, M., Fister, I.: Computational intelligence in sports: challenges and opportunities within a new research domain. Appl. Math. Computat. 262, 178–186 (2015)
Perry, J.: Sport Psychology: A Complete Introduction. Teach Yourself, New York, NY (2016)
Newton, J.: Uncommon Friends: Life with Thomas Edison, Henry Ford, Harvey Firestone, Alexis Carrel, and Charles Lindbergh. Mariner Books, New York, NY (1989)
Fister, I., Rauter, S., Yang, X.S., Ljubič Fister, K., Fister, Jr., I.: Planning the sports training sessions with the bat algorithm. Neurocomputing 149, 993–1002 (2015)
Fister Jr., I., Rauter, S., Ljubič Fister, K., Fister, D., Fister, I.: Planning fitness training sessions using the bat algorithm. In: 15th Conference ITAT 2015 (CEUR Workshop Proceedings) ISSN 1613-0073, Vol. 1422, pp. 121–126 (2015)
Fister Jr., I., Fister, I., Fister, D., Ljubič, K., Zhuang, Y., Fong, S.: Towards automatic food prediction during endurance sport competitions. In: 2014 International Conference on Soft Computing and Machine Intelligence (ISCMI), pp. 6–10. IEEE (2014)
Fister, D., Fister, I., Fister Jr., I.: Generating eating plans for athletes using the particle swarm optimization. In: IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI), pp. 193–198. IEEE, Budapest, Hungary (2016)
Rauter, S., Fister Jr., I., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2015). Technical Report
Rauter, S., Fister Jr., I., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2016). Technical Report
Fister Jr., I., Rauter, S., Fister, D., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2016). Technical Report
Fister, D., Fister Jr., I., Fister, I.: Visualization of cycling training. In: StuCoSReC : Proceedings of the 2016 3rd Student Computer Science Research Conference, pp. 39–44. University of Primorska, Koper, Slovenia (2016)
Hrovat, G., Fister Jr., I., Yermak, K., Stiglic, G., Fister, I.: Interestingness measure for mining sequential patterns in sports. J. Intell. Fuzzy Syst. 29(5), 1981–1994 (2015)
Fister Jr., I., Hrovat, G., Fister, I., Rauter, S.: Am i overtraining? a novel data mining approach for avoiding overtraining. In: StuCoSReC : Proceedings of the 2014 1st Student Computer Science Research Conference, pp. 47–52. University of Maribor, Maribor, Slovenia (2014)
Mlakar, U., Zorman, M., Fister Jr., I., Fister, I.: Modified binary cuckoo search for association rule mining. J. Intell. Fuzzy Syst. 32(6), 4319–4330 (2017). https://doi.org/10.3233/JIFS-16963
Karvonen, J., Vuorimaa, T.: Heart rate and exercise intensity during sports activities. Sports Med. 5(5), 303–311 (1988)
Laukkanen, R.M.T., Virtanen, P.K.: Heart rate monitors: state of the art. J. Sports Sci. 16(sup1), 3–7 (1998). https://doi.org/10.1080/026404198366920
Crouter, S.E., Albright, C., Bassett, D.R., et al.: Accuracy of polar s410 heart rate monitor to estimate energy cost of exercise. Med. Sci. Sports Exercise 36, 1433–1439 (2004)
Ferrari, L., Mamei, M.: Identifying and understanding urban sport areas using nokia sports tracker. Pervasive and Mobile Computing 9(5), 616–628 (2013). https://doi.org/10.1016/j.pmcj.2012.10.006. Special issue on Pervasive Urban Applications
Cortés, R., Bonnaire, X., Marin, O., Sens, P.: Sport Trackers and Big Data: Studying User Traces to Identify Opportunities and Challenges. Ph.D. thesis, INRIA Paris (2014)
Ward, M.O.: A taxonomy of glyph placement strategies for multidimensional data visualization. Informat. Visualizat. 1(3–4), 194–210 (2002)
Rea, S.: Sports Science: A Complete Introduction. John Murray Learning, London, UK (2015)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Fister, I., Fister Jr., I., Fister, D. (2019). Design and Implementation of an Artificial Sports Trainer. In: Computational Intelligence in Sports. Adaptation, Learning, and Optimization, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-03490-0_6
Download citation
DOI: https://doi.org/10.1007/978-3-030-03490-0_6
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03489-4
Online ISBN: 978-3-030-03490-0
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)