Skip to main content

Design and Implementation of an Artificial Sports Trainer

  • Chapter
  • First Online:
Computational Intelligence in Sports

Part of the book series: Adaptation, Learning, and Optimization ((ALO,volume 22))

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 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)

    Article  MathSciNet  Google Scholar 

  2. Perry, J.: Sport Psychology: A Complete Introduction. Teach Yourself, New York, NY (2016)

    Google Scholar 

  3. Newton, J.: Uncommon Friends: Life with Thomas Edison, Henry Ford, Harvey Firestone, Alexis Carrel, and Charles Lindbergh. Mariner Books, New York, NY (1989)

    Google Scholar 

  4. 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)

    Article  Google Scholar 

  5. 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)

    Google Scholar 

  6. 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)

    Google Scholar 

  7. 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)

    Google Scholar 

  8. Rauter, S., Fister Jr., I., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2015). Technical Report

    Google Scholar 

  9. Rauter, S., Fister Jr., I., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2016). Technical Report

    Google Scholar 

  10. Fister Jr., I., Rauter, S., Fister, D., Fister, I.: A Collection of Sport Activity Files for Data Analysis and Data Mining (2016). Technical Report

    Google Scholar 

  11. 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)

    Google Scholar 

  12. 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)

    Article  Google Scholar 

  13. 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)

    Google Scholar 

  14. 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

    Article  Google Scholar 

  15. Karvonen, J., Vuorimaa, T.: Heart rate and exercise intensity during sports activities. Sports Med. 5(5), 303–311 (1988)

    Article  Google Scholar 

  16. 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

    Article  Google Scholar 

  17. 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)

    Article  Google Scholar 

  18. 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

    Article  Google Scholar 

  19. 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)

    Google Scholar 

  20. Ward, M.O.: A taxonomy of glyph placement strategies for multidimensional data visualization. Informat. Visualizat. 1(3–4), 194–210 (2002)

    Article  Google Scholar 

  21. Rea, S.: Sports Science: A Complete Introduction. John Murray Learning, London, UK (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Iztok Fister .

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

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

Publish with us

Policies and ethics