Abstract
This paper focuses on the first research phase of the development and analysis of a support interface for Taekwondo athletes. This study aims to solve the existing gap in the time of analysis and feedback from the coach to the athlete. Through the creation of a platform supported by a system based on deep learning, it is intended to design a user interface that promotes the physical and theoretical development of the various athletes of this sport. Therefore, it became fundamental to perform the analysis of standard structures in which statistics and data concerning the athlete are often presented in a digital context. The first research phase consisted of analyzing content related to the importance of design and data structuring in sports. Consequently, the study and evaluation of similar applications began to understand the various tools and graphical user interfaces used to enhance and stimulate the performance of athletes. Since there is not a great diversity of applications inherent to Taekwondo, the research was extended to platforms of other sports categories, namely: Fitbit, HomeCourt and Strava. Based on the study undertaken there were identified relevant needs that trigger the necessity of development of a specific platform for Taekwondo athletes.
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Acknowledgments
This work was funded through the FCT – Fundação para a Ciência e Tecnologia and FCT/MCTES in the scope of the project UIDB/05549/2020.
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Silva, T., Martins, N., Cunha, P., Carvalho, V., Soares, F. (2022). Development and Design of an Evaluation Interface for Taekwondo Athletes: First Insights. In: Brooks, E., Sjöberg, J., Møller, A.K. (eds) Design, Learning, and Innovation. DLI 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-031-06675-7_1
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