본문 바로가기
  • Home

A Study on AI-Based Automatic Dance Notation Generation for K-POP Choreography Copyright Protection

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(4), pp.19~24
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : March 26, 2025
  • Accepted : April 17, 2025
  • Published : April 30, 2025

1)Byong-Kwon Lee 1

1서원대학교

Accredited

ABSTRACT

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.

Citation status

* References for papers published after 2023 are currently being built.