Skip to main content

EMG Analysis for Basic Self-defense Techniques

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


Electromyography (EMG) is an electro diagnostic medicine method used for measuring an electrical activity of skeletal muscles and nerves that control muscles. Beside the medicine, EMG is also used for measuring a local muscle load and for the purpose of this research EMG was used for determination of utilization of individual great muscles in self-defense techniques. The aim was obtaining new inputs for artificial neural networks. Simultaneously this research proceeds on previous project and researches.

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

Access this chapter

Institutional subscriptions

Similar content being viewed by others


  1. Michell A.: Understanding EMG, 288 s. OUP Oxford, Oxfrord, Great Britan (2013). ISBN: 9780191509407

    Google Scholar 

  2. Norris, F.H.: The EMG: a guide and atlas for practical electromyography. Grune & Stratton (2008)

    Google Scholar 

  3. Remijn, L., Groen, B.E., Speyer, R., van Limbeek, J., Nijhuis-van der Sanden, M.W.G.: Reproducibility of 3D kinematics and surface electromyography measurements of mastication. Physiol. Behav. 155, 112–121 (2016)

    Google Scholar 

  4. Liu, J., Liu, Q.: Use of the integrated profile for voluntary muscle activity detection using EMG signals with spurious background spikes: a study with incomplete spinal cord injury. Biomed. Signal Process. Control 24, 19–24 (2016)

    Google Scholar 

  5. Lapkova D., Pospisilik M., Adamek M., Malanik Z.: The utilisation of an impulse of force in self-defence. In: XXIMEKO World Congress: Metrology for Green Growth. Busan, Republic of Korea (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 (2014). ISBN: 978-3-319-06739-1. ISSN: 2194-5357

    Google Scholar 

  7. Lapkova D., Pluhacek M., Kominkova Oplatkova Z., 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., Kominkova Oplatkova Z.: 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. Fausett L.V.: Fundamentals of Neural Networks: Architectures, Algorithms and Applications. Prentice Hall (1993). ISBN: 9780133341867

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

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

    Google Scholar 

Download references


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.

Author information

Authors and Affiliations


Corresponding author

Correspondence to Dora Lapkova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Lapkova, D., Kralik, L., Adamek, M. (2016). EMG Analysis for 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.

Download citation

  • DOI:

  • 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