Taekwondo Poomsae-3 Movement Identification by using CNN

Novie Pasaribu, Erwani Merry, Kalya Icasia, Jordan Eliezer, Febryan Setiawan

2021

Abstract

Taekwondo competition consists of three elements: Poomsae, sparring, and breaking. Poomsae is a set of movements consisting of punches and kicks and focuses on technique, breathing ability, balance, coordination and concentration. OpenPose is a library that can represent the human body, whether it’s body, head, hands or feet. OpenPose is widely used in research related to the classification of human movement. This research will analyze the effect of OpenPose as an input for the identification of Taekwondo movements, especially in Poomsae-3 using a CNN. The image data of taekwondo movements were taken from video recordings. In this research, three types of classification models were designed to identify taekwondo movements, Model-1 with input in the form of taekwondo movement images, Model-2 with input in the form of taekwondo movement images and OpenPose, and Model-3 with input in the form of OpenPose. From the test results, Model-3 with input in the form of an OpenPose keypoint obtained the best accuracy results (amounting to 99.39%) compared to Model-2 (97.68%) and Model-1 (79.86%). For further research development, the identification of taekwondo movements can be done for input in the form of video, and analysis of the significant keypoints for the taekwondo movement.

Paper Citation

in Harvard Style

Pasaribu N., Merry E., Icasia K., Eliezer J. and Setiawan F. (2021). Taekwondo Poomsae-3 Movement Identification by using CNN. In Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES, ISBN 978-989-758-601-9, pages 32-38. DOI: 10.5220/0010744000003113

in Bibtex Style

@conference{ice-tes21,
author={Novie Pasaribu and Erwani Merry and Kalya Icasia and Jordan Eliezer and Febryan Setiawan},
title={Taekwondo Poomsae-3 Movement Identification by using CNN},
booktitle={Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,},
year={2021},
pages={32-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010744000003113},
isbn={978-989-758-601-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - Volume 1: ICE-TES,
TI - Taekwondo Poomsae-3 Movement Identification by using CNN
SN - 978-989-758-601-9
AU - Pasaribu N.
AU - Merry E.
AU - Icasia K.
AU - Eliezer J.
AU - Setiawan F.
PY - 2021
SP - 32
EP - 38
DO - 10.5220/0010744000003113