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@article{ART003009706},
author={Ju-Yeon Kim and Kyu-Cheol Cho},
title={A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2023},
volume={28},
number={10},
pages={9-16},
doi={10.9708/jksci.2023.28.10.009}

TY - JOUR
AU - Ju-Yeon Kim
AU - Kyu-Cheol Cho
TI - A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions
JO - Journal of The Korea Society of Computer and Information
PY - 2023
VL - 28
IS - 10
PB - The Korean Society Of Computer And Information
SP - 9
EP - 16
SN - 1598-849X
AB - Technological advancement is being advanced in sports such as electronic protection of taekwondo competition and VAR of soccer. However, a person judges and guides the posture by looking at the posture, so sometimes a judgment dispute occurs at the site of the competition in Taekwondo Poomsae. This study proposes an artificial intelligence model that can more accurately judge and evaluate Taekwondo movements using artificial intelligence. In this study, after pre-processing the photographed and collected data, it is separated into train, test, and validation sets. The separated data is trained by applying each model and conditions, and then compared to present the best-performing model. The models under each condition compared the values of loss, accuracy, learning time, and top-n error, and as a result, the performance of the model trained under the conditions using ResNet50 and Adam was found to be the best. It is expected that the model presented in this study can be utilized in various fields such as education sites and competitions.
KW - Pose Estimation;Machine Learning;Deep Learning;Convolutional Neural Network;Deep Convolutional Neural Network
DO - 10.9708/jksci.2023.28.10.009
ER -

Ju-Yeon Kim and Kyu-Cheol Cho. (2023). A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions. Journal of The Korea Society of Computer and Information, 28(10), 9-16.

Ju-Yeon Kim and Kyu-Cheol Cho. 2023, "A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions", Journal of The Korea Society of Computer and Information, vol.28, no.10 pp.9-16. Available from: doi:10.9708/jksci.2023.28.10.009

Ju-Yeon Kim, Kyu-Cheol Cho "A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions" Journal of The Korea Society of Computer and Information 28.10 pp.9-16 (2023) : 9.

Ju-Yeon Kim, Kyu-Cheol Cho. A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions. 2023; 28(10), 9-16. Available from: doi:10.9708/jksci.2023.28.10.009

Ju-Yeon Kim and Kyu-Cheol Cho. "A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 9-16.doi: 10.9708/jksci.2023.28.10.009

Ju-Yeon Kim; Kyu-Cheol Cho. A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions. Journal of The Korea Society of Computer and Information, 28(10), 9-16. doi: 10.9708/jksci.2023.28.10.009

Ju-Yeon Kim; Kyu-Cheol Cho. A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions. Journal of The Korea Society of Computer and Information. 2023; 28(10) 9-16. doi: 10.9708/jksci.2023.28.10.009

Ju-Yeon Kim, Kyu-Cheol Cho. A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions. 2023; 28(10), 9-16. Available from: doi:10.9708/jksci.2023.28.10.009

Ju-Yeon Kim and Kyu-Cheol Cho. "A Taekwondo Poomsae Movement Classification Model Learned Under Various Conditions" Journal of The Korea Society of Computer and Information 28, no.10 (2023) : 9-16.doi: 10.9708/jksci.2023.28.10.009