Towards an automatic detection system of sports talents: an approach to Tae Kwon Do

Tae Kwon Do is a Korean martial art included as an Olympic sport, where several tools have been deve - loped from the engineering point of view,mainly focused on improving the capacity of the athletes. Nevertheless, there is a breach in the selection process of high performance athletes. For this reason, this research was focused on developing a system based on the information of the classification for the athletes in the Tae Kwon Do Ecuadorian Federation by using the wrapper and embedded modes and the Decision Tree and Support Vector Machines machine learning algo - rithms. These algorithms and modes were used to assess the different factors considered in this classification. The main contribution of this work is to provide a support system for the selection of these athletes.