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Recording of Occurrences Through Image Processing in Taekwondo Training: First Insights

  • Tiago Pinto
  • Emanuel Faria
  • Pedro CunhaEmail author
  • Filomena Soares
  • Vítor Carvalho
  • Hélder Carvalho
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 27)

Abstract

Nowadays, the most used evaluation method of athlete’s performance in the martial art Taekwondo is still performed manually, where the coach analyses the collected videos of the athlete training. This method besides being time consuming, it is prone to errors. Aiming the development of methods for improvement the training, this project intends to present a new method for recording occurrences and recognizing the movements of athletes in real time during the Taekwondo training. To achieve the purpose, it was used the Microsoft Kinect sensor fused with image processing technics. This project arises as a collaboration between the University of Minho, the School of Technology from the Polytechnic Institute of Cávado and Ave and the Sporting Club de Braga Taekwondo section, Portugal. It is the authors believe that the proposed system may improve the athlete’s performance and the development of the Taekwondo training technics.

Keywords

Image processing Taekwondo Martial arts Motion analysis 

Notes

Acknowledgments

The authors would like also to express their acknowledgments to COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013. Pedro Cunha thanks FCT for PhD scholarship SFRH/BD/121994/2016.

Special thanks to Coach Joaquim Peixoto, as well as Sport Club de Braga Taekwondo section and to the national team, for allowing us to use their training site, as well as seeing/participating in training to test the developed system, as in general for all the cooperation.

Additional thanks to Ricardo Guimarães from Vitória Sport Clube Taekwondo team for testing the first versions of the system and help with the calibration of the system.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Tiago Pinto
    • 1
  • Emanuel Faria
    • 1
  • Pedro Cunha
    • 1
    Email author
  • Filomena Soares
    • 1
  • Vítor Carvalho
    • 2
  • Hélder Carvalho
    • 3
  1. 1.Department Industrial Electronics, Algoritmi Research CentreUniversity of MinhoGuimarãesPortugal
  2. 2.School of Technology, IPCA, Barcelos & Algoritmi Research CentreUniversity of MinhoGuimarãesPortugal
  3. 3.Department Textil Engineering, 2C2T Research CentreUniversity of MinhoGuimarãesPortugal

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