Authors:
Pedro Cunha
1
;
2
;
Paulo Barbosa
1
;
Fábio Ferreira
2
;
Carlos Fitas
1
;
Vítor Carvalho
1
;
2
and
Filomena Soares
2
Affiliations:
1
12Ai - School of Technology, IPCA, Barcelos, Portugal
;
2
Algoritmi Research Centre, University of Minho, Guimarães, Portugal
Keyword(s):
Deep Learning, Motion Analysis, Neural Networks, Wearable, Computer Vision, Taekwondo.
Abstract:
Assessing athletes' performance is a constant challenge for coaches, whatever the sport is. In some sports there are no technological solutions to assist coaches in this task. This is the case of Taekwondo, where currently the methods used are mainly manual. Following this trend, this article presents the work developed in a PhD project whose main objective is the development of a friendly and low-cost system for assessing the performance of Taekwondo athletes in real time. Thus, the system uses a 3D camera with depth sensor (Orbbec Astra), a computer and software developed for data collection and processing. The system also provides the inclusion of Inertial Measurement Units (IMUs). The system allows an accurate feedback for the correction or improvement of the athlete's techniques, enabling an increase in the athlete's performance in a shorter period of time. In all, the project contributes to the evolution of the techniques used during Taekwondo training, as well as to the techno
logical development in the practice of Taekwondo.
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