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.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 10 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.info:eu-repo/semantics/acceptedVersio