Skip to main content
SpringerLink
Log in

Utilization of Motion Animation for Analysis of Basic Self-defense Techniques

  • Conference paper
  • First Online:
Book cover Software Engineering Perspectives and Application in Intelligent Systems ( ICTIS 2017, CSOC 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 465))

Abstract

This paper is focused on possible utilization of an artificial neural network connected with biometric systems and motion animation for the purpose of training of self-defense techniques. The described experiment was performed in a specialized laboratory of university hospital in Brno with the help of VICON system. The aim was to obtain new inputs for artificial neural networks. Simultaneously, this research proceeds with previous project and research. This paper also contains the most interesting results from the experiment.

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

Access this chapter

Log in via an institution

Institutional subscriptions

References

  1. Talandova, H.: Study about application of biometric systems in the industry of commercial security. Zlin. Bachelor thesis. UTB in Zlin (2010)

    Google Scholar 

  2. Drahansky, M., Orsag, F.: Biometrics. 1. 294 s. (2011). [Brno: M. Drahanský]. ISBN: 978-80-254-8979-6

    Google Scholar 

  3. Rak, R., Matyas, V., Riha, Z.: Biometrics and identity of a person in forensic science and commercial applications. 1. Grada Publishing, Praha (2008). ISBN: 978-80-247-2365-5

    Google Scholar 

  4. Li, H., Li, L., Toh, K.-A.: Advanced Topics in Biometrics, xv, 500 s. World Scientific, New Jersey (2012). ISBN: 978-981-4287-84-5

    Google Scholar 

  5. Lapkova, D., Pospisilik, M., Adamek, M., Malanik, Z.: The utilisation of an impulse of force in self-defence. In: XX IMEKO World Congress: Metrology for Green Growth. Republic of Korea, Busan (2012). ISBN: 978-89-950000-5-2

    Google Scholar 

  6. Lapkova, D., Pluhacek, M., Adamek, M.: Computer aided analysis of direct punch force using the tensometric sensor. In: Modern Trends and Techniques in Computer Science: 3rd Computer Science On-line Conference 2014 (CSOC 2014), s. 507–514. Springer, Switzerland (2014). ISBN: 978-3-319-06739-1. ISSN: 2194-5357

    Google Scholar 

  7. Lapkova, D., Pluhacek, M., Oplatkova, Z.K., Adamek, M.: Using artificial neural network for the kick techniques classification—an inticial study. In: Proceedings 28th European Conference on Modelling and Simulation ECMS 2014, s. 382–387. Digitaldruck Pirrot GmbH, Germany (2014). ISBN: 978-0-9564944-8-1

    Google Scholar 

  8. Lapkova, D., Adamek, M., Oplatkova, Z.K.: Analysis of direct punch force in professional defence. In: Proceedings 29th European Conference on Modelling and Simulation ECMS 2015, s. 564–569. Digitaldruck Pirrot GmbH, Germany (2015). ISBN: 978-0-9932440-0-1

    Google Scholar 

  9. Sulovska, K., Adamek, M.: Research of biometric systems based on the recognition of human walking (Výzkum biometrických systémů založených na rozpoznávání lidské chůze). Jemná mechanika a optika, roč. 59, č. 10, s. 273–276 (2014). ISSN: 0447-6441

    Google Scholar 

  10. Sulovska, K.: On different approaches to human body movement analysis. In: Proceedings of the 2014 International Conference on Applied Mathematics, Computational Science and Engineering. Craiova: Europment, s. 264–274 (2014). ISSN: 2227-4588. ISBN 978-1-61804-246-0

    Google Scholar 

  11. Fausett, L.V.: Fundamentals of Neural Networks: Architectures, Algorithms and Applications. Prentice Hall (1993). ISBN: 9780133341867

    Google Scholar 

  12. Gurney, K.: An Introduction to Neural Networks. CRC Press (1997). ISBN: 1857285034

    Google Scholar 

  13. Hertz, J., Kogh, A., Palmer, R.G.: Introduction to the Theory of Neural Computation, Addison-Wesley (1991)

    Google Scholar 

  14. Wasserman, P.D.: Neural Computing: Theory and Practice. Coriolis Group (1980). ISBN: 0442207433

    Google Scholar 

Download references

Acknowledgments

This work was supported by by Internal Grant Agency of Tomas Bata University in Zlin under the project No. IGA/CebiaTech/2016/006.Further this work was supported by financial support of research project NPU I No. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 and also supported by Grant Agency of the Czech Republic—GACR P103/15/06700S.

Author information

Authors and Affiliations

  1. Faculty of Applied Informatics, Department of Security Engineering, Tomas Bata University in Zlin, Nam. T. G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Dora Lapkova & Milan Adamek

  2. Faculty of Applied Informatics, Department of Informatics and Artificial Intelligence, Tomas Bata University in Zlin, Nam. T.G. Masaryka 5555, 760 01, Zlin, Czech Republic

    Lukas Kralik & Zuzana Oplatkova Kominkova

Authors
  1. Dora Lapkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lukas Kralik
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Zuzana Oplatkova Kominkova
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Milan Adamek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Dora Lapkova .

Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Radek Silhavy

  2. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Roman Senkerik

  3. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zuzana Kominkova Oplatkova

  4. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Petr Silhavy

  5. Faculty of Applied Informatics, Tomas Bata University in Zlín, Zlín, Czech Republic

    Zdenka Prokopova

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Lapkova, D., Kralik, L., Kominkova, Z.O., Adamek, M. (2016). Utilization of Motion Animation for Analysis of Basic Self-defense Techniques. In: Silhavy, R., Senkerik, R., Oplatkova, Z.K., Silhavy, P., Prokopova, Z. (eds) Software Engineering Perspectives and Application in Intelligent Systems. ICTIS CSOC 2017 2016. Advances in Intelligent Systems and Computing, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-319-33622-0_31

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-33622-0_31

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-33620-6

  • Online ISBN: 978-3-319-33622-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation