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Taekwondo athletes evaluation real-time system : Project overview

PUBLISHED April 19, 2023 (DOI: https://doi.org/10.54985/peeref.2304p7904464)

NOT PEER REVIEWED

Authors

Pedro Cunha1 , Paulo Barbosa1 , Fábio Ferreira2 , Carlos Fitas1 , Tânia Silva1 , Vítor Carvalho1 , Filomena Soares2 , Nuno Martins1
  1. IPCA, Portugal
  2. Minho University, Portugal

Conference / event

Ciência 2022- Portuguese Science Summit, May 2022 (Lisbon, Portugal)

Poster summary

Assessing athletes' performance is a constant challenge for coaches. Taekwondo methods of evaluation used are mainly manual. Research in motion analysis area has enabled the development of affordable and easy to access technological solutions. This study presents a friendly and low-cost system for assessing the performance of Taekwondo athletes in real time. The system uses a 3D camera with depth sensor, a computer, a software developed for data collection and processing and Inertial Measurement Units (IMUs). Aiming to identify and quantify the movements performed by the athlete during training sessions using deep learning techniques applied to the data collected in real time. Several approaches and methodologies were tested along with a dataset previously developed in order to define which one presents the best results. The best results were obtained with convolution layers models, such as, CNN, LSTM and ConvLSTM, with more than 90% in terms of accuracy validation.

Keywords

Taekwondo, Artificial intelligence, Motion analysis

Research areas

Electrical Engineering, Computer and Information Science

References

  1. P. Cunha, V. Carvalho and F. Soares, "Real-Time Data Movements Acquisition of Taekwondo Athletes: First Insights", in HELIX International Conference on Innovation, Engineering and Entrepreneurship, Cham, Springer, 2018, pp. 251-258.
  2. P. Cunha, V. Carvalho and F. Soares, "Development of a Real-Time Evaluation System for Top Taekwondo Athletes: SPERTA", in SENSORDEVICES 2018: The Ninth International Conference on Sensor Device Technologies and Applications, IARIA, 2018, pp. 140-145.
  3. P. Barbosa, P. Cunha, V. Carvalho and F. Soares, ”Classification of Taekwondo Techniques using Deep Learning Methods: First Insights”, in BIODEVICES - 14th International Conference on Biomedical Electronics and Devices. [online], SCITEPRESS – Science and Technology Publications, Lda, 2021, pp.201-208.
  4. P. Cunha, P. Barbosa, F Ferreira, C. Fitas, V. Carvalho and F. Soares, “Real-time Evaluation System for Top Taekwondo Athletes: Project Overview”, in BIODEVICES - 14th International Conference on Biomedical Electronics and Devices. [online], SCITEPRESS – Science and Technology Publications, Lda, 2021, pp.209-216.

Funding

  1. FCT - Portuguese Science and Technology Foundation (No. SFRH/BD/121994/2016.)

Supplemental files

No data provided

Additional information

Competing interests
No competing interests were disclosed.
Data availability statement
The datasets generated during and / or analyzed during the current study are available from the corresponding author on reasonable request.
Creative Commons license
Copyright © 2023 Cunha et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Cite
Cunha, P., Barbosa, P., Ferreira, F., Fitas, C., Silva, T., Carvalho, V., Soares, F., Martins, N. Taekwondo athletes evaluation real-time system : Project overview [not peer reviewed]. Peeref 2023 (poster).
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