Skip to main content

Advertisement

Springer Nature Link
Log in

Sports training auxiliary decision support system based on neural network algorithm

  • S.I. :Artificial Intelligence Technologies in Sports and Art Data Applications
  • Published:
Neural Computing and Applications Aims and scope Submit manuscript

Abstract

In order to improve the effect of sports training auxiliary decision, this paper combines the needs of sports training auxiliary system to carry out functional analysis and improve the traditional machine learning algorithm. The domain adversarial neural network based on maximum entropy loss combines the ability of maximum entropy loss to process misclassified samples and uses classification loss and domain adversarial loss to solve the problem of inconsistent edge distribution of category features between domains. Moreover, this paper takes sports decision as the core and introduces tasks of different difficulty and video training into research. In addition, this paper uses simulation software to measure the correctness of sports training in different scenarios and the data of the response latency and applies the neural network algorithm to the construction of the sports training auxiliary decision system. Finally, this paper designs experiments to study sports training recognition and sports training decision-making and builds an intelligent system through a simulation platform. The experimental research results show that the system constructed in this paper has a good sports training auxiliary decision function. The reliability of the method in this article can be verified in practice in the future.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

Explore related subjects

Discover the latest articles and news from researchers in related subjects, suggested using machine learning.

References

  1. Kimasi K, Shojaei V, Boroumand MR (2019) Investigation of safety conditions at gymnasia in different organizations. J Human Insights 3(02):70–74

    Google Scholar 

  2. Reinhart K, Wichmann B (2020) The TuS Fortschritt Magdeburg-Neustadt (soccer section) in the GDR–an example of amateur socialist sport. Soccer Soc 21(4):408–420

    Article  Google Scholar 

  3. Abanazir C (2019) E-sport and the EU: the view from the english bridge union. Int Sports Law J 18(3):102–113

    Article  Google Scholar 

  4. Gerke A, Babiak K, Dickson G et al (2018) Developmental processes and motivations for linkages in cross-sectoral sport clusters. Sport Manag Rev 21(2):133–146

    Article  Google Scholar 

  5. Pogrebnoy AI, Komlev IO (2018) Sport institutions reporting to Ministry of Sport of Russian Federation: intellectual property, invention activity, patenting and legal consulting service analysis. Theory Pract Phys Culture 2:2–2

    Google Scholar 

  6. Ilies DC, Buhas R, Ilies M et al (2018) Sport activities and leisure in nature 2000 protected area-Red Valley, Romania. J Environ Prot Ecol 19(1):367–372

    Google Scholar 

  7. Kondrukh AI (2017) Practical shooting sport in Russian sport system: essential specifications and features. Theory Pract Phys Culture 5:27–27

    Google Scholar 

  8. Giulianotti R, Numerato D (2018) Global sport and consumer culture: an introduction. J Consum Cult 18(2):229–240

    Article  Google Scholar 

  9. Gurinovich AG, Petrova GV (2019) Key priorities of physical education and sport sector budgeting laws and regulations in the Russian Federation. Theory Pract Phys Culture 4:34–34

    Google Scholar 

  10. Mountjoy M, Costa A, Budgett R et al (2018) Health promotion through sport: international sport federations’ priorities, actions and opportunities. Br J Sports Med 52(1):54–60

    Article  Google Scholar 

  11. Pulido JJ, Sánchez-Oliva D, Sánchez-Miguel PA et al (2018) Sport commitment in young soccer players: a self-determination perspective. Int J Sports Sci Coach 13(2):243–252

    Article  Google Scholar 

  12. Cristiani J, Bressan JC, Pérez BL, et al. (2017) CLUBS SOCIO-DEPORTIVOS EN UN MUNICIPIO BRASILEÑO: ESPACIO, EQUIPOS Y CONTENIDOS [Sport clubs in Brazil: facilities, equipment and content in][Clubes socio-esportivos em município brasileiro: Espaço, equipamentos e conteúdos]. E-balonmano. com: Revista de Ciencias del Deporte, 13(2): 105–112.

  13. Happ E, Schnitzer M, Peters M (2021) Sport-specific factors affecting location decisions in business to business sport manufacturing companies: a qualitative study in the Alps. Int J Sport Manag Mark 21(1–2):21–48

    Google Scholar 

  14. Castro-Sánchez M, Zurita-Ortega F, Chacón-Cuberos R (2019) Motivation towards sport based on sociodemographic variables in university students from Granada. J Sport Health Res 11(1):55–68

    Google Scholar 

  15. Hadlow SM, Panchuk D, Mann DL et al (2018) Modified perceptual training in sport: a new classification framework. J Sci Med Sport 21(9):950–958

    Article  Google Scholar 

  16. Du Plessis JH, Berteanu M (2020) The importance of prosthetic devices in sport activities for Romanian amputees who compete in Paralympic competitions. Med Sportiva: J Roman Sports Med Soc 16(1):3197–3204

    Google Scholar 

  17. Stylianou M, Hogan A, Enright E (2019) Youth sport policy: the enactment and possibilities of ‘soft policy’in schools. Sport Educ Soc 24(2):182–194

    Article  Google Scholar 

  18. Richmond SA, Donaldson A, Macpherson A et al (2020) Facilitators and barriers to the implementation of iSPRINT: a sport injury prevention program in junior high schools. Clin J Sport Med 30(3):231–238

    Google Scholar 

  19. Ruihley BJ, Greenwell TC, Mamo Y et al (2019) Increase customer retention: an examination of quality and its effects on the retention of sport participants. J Sport Behav 42(3):365–388

    Google Scholar 

  20. DiFiori JP, Green G, Meeuwisse W et al (2021) Return to sport for North American professional sport leagues in the context of COVID-19. Br J Sports Med 55(8):417–421

    Article  Google Scholar 

  21. Emery CA, Black AM, Kolstad A et al (2017) What strategies can be used to effectively reduce the risk of concussion in sport? A systematic review. Br J Sports Med 51(12):978–984

    Article  Google Scholar 

  22. Lee OC, Yusof A, Geok SK et al (2017) Volunteerism, organizational justice and organizational commitment: the case of sport coaches in Malaysian schools. Int J Acad Res Business Soc Sci 7(7):387–401

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Physical Education, Qiqihar University, Qiqihar, 161006, China

    Tianyi Wang

Authors
  1. Tianyi Wang
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Tianyi Wang.

Ethics declarations

Conflict of interest

The author declared that there were no conflict of interest to this work.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, T. Sports training auxiliary decision support system based on neural network algorithm. Neural Comput & Applic 35, 4211–4224 (2023). https://doi.org/10.1007/s00521-022-07137-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00521-022-07137-0

Keywords