@article{ART003197415},
author={1)Byong-Kwon Lee},
title={A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2025},
volume={30},
number={4},
pages={19-24},
doi={10.9708/jksci.2025.30.04.019}
TY - JOUR
AU - 1)Byong-Kwon Lee
TI - A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection
JO - Journal of The Korea Society of Computer and Information
PY - 2025
VL - 30
IS - 4
PB - The Korean Society Of Computer And Information
SP - 19
EP - 24
SN - 1598-849X
AB - As the K-POP industry continues to grow in the global market, the importance of choreography originality and copyright protection is increasing. However, existing methods of recording choreography primarily rely on videos and documents, which have limitations in systematic preservation and protection. To address this issue, this study aims to develop an AI-powered system that automatically analyzes and converts K-POP choreography into a dance notation format. In this study, video frames are extracted as images, and Pose is utilized to capture poses from each frame. These poses are then sequentially arranged, similar to musical notation, to systematically represent the choreography.
Additionally, emotion icons are incorporated into the notation to visually convey the emotional expressions of the movements, making interpretation more intuitive. Through this research, we aim to develop an AI-based automated dance notation system, providing a structured approach to recording and preserving K-POP choreography while contributing to the entertainment industry.
KW - K-POP Choreography;Artificial Intelligence;Dance Notation;Pose Estimation;Choreography Documentation
DO - 10.9708/jksci.2025.30.04.019
ER -
1)Byong-Kwon Lee. (2025). A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection. Journal of The Korea Society of Computer and Information, 30(4), 19-24.
1)Byong-Kwon Lee. 2025, "A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection", Journal of The Korea Society of Computer and Information, vol.30, no.4 pp.19-24. Available from: doi:10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee "A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection" Journal of The Korea Society of Computer and Information 30.4 pp.19-24 (2025) : 19.
1)Byong-Kwon Lee. A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection. 2025; 30(4), 19-24. Available from: doi:10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee. "A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection" Journal of The Korea Society of Computer and Information 30, no.4 (2025) : 19-24.doi: 10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee. A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection. Journal of The Korea Society of Computer and Information, 30(4), 19-24. doi: 10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee. A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection. Journal of The Korea Society of Computer and Information. 2025; 30(4) 19-24. doi: 10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee. A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection. 2025; 30(4), 19-24. Available from: doi:10.9708/jksci.2025.30.04.019
1)Byong-Kwon Lee. "A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection" Journal of The Korea Society of Computer and Information 30, no.4 (2025) : 19-24.doi: 10.9708/jksci.2025.30.04.019
