Taekwondo Poomsae-3 Movement Identification by using CNN

Pasaribu, Novie Theresia Br. and Sartika, Erwani Merry and Icasia, Kalya and Eliezer, Jordan and Lin, Che-Wei and Setiawan, Febryan (2021) Taekwondo Poomsae-3 Movement Identification by using CNN. In: ist International Conference on Emerging Issues in Technology, Engineering and Science, 1-2 July 2021, Bandung.

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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.

Item Type:	Conference or Workshop Item (Paper)
Contributors:	Contribution Contributors NIDN/NIDK Email UNSPECIFIED Pasaribu, Novie Theresia Br. UNSPECIFIED UNSPECIFIED UNSPECIFIED Sartika, Erwani Merry UNSPECIFIED UNSPECIFIED UNSPECIFIED Icasia, Kalya UNSPECIFIED UNSPECIFIED UNSPECIFIED Eliezer, Jordan UNSPECIFIED UNSPECIFIED UNSPECIFIED Lin, Che-Wei UNSPECIFIED UNSPECIFIED UNSPECIFIED Setiawan, Febryan UNSPECIFIED UNSPECIFIED
Uncontrolled Keywords:	Taekwondo, Poomsae, OpenPose, Convolutional Neural Network (CNN)
Subjects:	T Technology > T Technology (General)
Depositing User:	Perpustakaan Maranatha
Date Deposited:	05 Apr 2023 07:44
Last Modified:	10 Apr 2023 08:36
URI:	http://repository.maranatha.edu/id/eprint/31648

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