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Applied Practices on Digital Historical Data Transformation based on Intangible Cultural Heritage with Metaverse Approach

  • Hyeon-Uk Jeong (Dept. of Platform Development, Caliverse) ;
  • Janghwan Kim (Dept. of Software and Communications Engineering, Hongik University) ;
  • Jihoon Kong (Dept. of Software and Communications Engineering, Hongik University) ;
  • R. Young Chul Kim (Dept. of Software and Communications Engineering, Hongik University)
  • Received : 2024.08.05
  • Accepted : 2024.08.17
  • Published : 2024.09.30

Abstract

The preservation and transmission of intangible cultural heritage, such as traditional martial arts, have historically relied on manual processes that are both resource-intensive and costly. Due to budget limitations, many of these cultural assets are at risk of deterioration or remain hidden in museum storage, inaccessible to the public. To address these challenges, we propose a Digital Historical Data Transformation mechanism utilizing metaverse development techniques. This innovative approach converts 2D images into 3D representations, allowing for the extraction and visualization of associated actions in a three-dimensional space. By applying this methodology to the "Muyedobotongji," a classic text on traditional martial arts, we aim to digitally preserve these practices in a way that is both immersive and interactive. The transformation of static 2D images into dynamic 3D visualizations will not only enhance the restoration process but also make these cultural assets more accessible and engaging for future generations. This digital approach promises a more efficient and sustainable means of preserving intangible cultural heritage, ensuring that these traditions continue to thrive in the modern world.

Keywords

Acknowledgement

This study was conducted with the support of the Korea Creative Content Agency (Task Name: Artificial Intelligence-based User Interactive Storytelling 3D Scene Authoring Technology Development, Task Number: RS-2023-00227917, Contribution Rate: 100%) and is supported by the National Research Foundation(NRF), Korea, under project BK21 FOUR.

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