Research on Interactive Experience and Inheritance Development of Traditional Craft Intangible Cultural Heritage Based on Digital Technology

Digital modeling technology breaks the geographical limitations of traditional intangible cultural heritage (ICH) dissemination, enabling more people to participate in the protection and inheritance of ICH in a more intuitive and vivid way. This study explores the application of digital modeling technology in the digital inheritance of traditional ICH and compares three neural network models—the multi-scale detail perception network (MDPN), DenseNet, and EfficientNet. The results show that the MDPN excels in detail processing and computational efficiency, accurately reconstructing the complex textures and fine patterns in ICH images. When combined with other models, the MDPN provides users with an immersive experience when both viewing and creating ICH. In conclusion, digital modeling technology is becoming an important tool for promoting the widespread dissemination of ICH.

Authors

Institutions

Publication Details

Journal
International Journal of Cognitive Informatics and Natural Intelligence
Published
2025-06-30
DOI
https://doi.org/10.4018/ijcini.383671
Citations
2
Primary Topic
Digital Media and Visual Art
Type
article
Field-Weighted Citation Impact
7.08

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Interactive Experience and Inheritance Development of Traditional Craft Intangible Cultural Heritage Based on Digital Technology

Linxue Lyu
2 citations
International Journal of Cognitive Informatics and Natural Intelligence
Digital Media and Visual Art
7.08
article

Research on Interactive Experience and Inheritance Development of Traditional Craft Intangible Cultural Heritage Based on Digital Technology

Linxue Lyu
article en
2 citations

Abstract

Digital modeling technology breaks the geographical limitations of traditional intangible cultural heritage (ICH) dissemination, enabling more people to participate in the protection and inheritance of ICH in a more intuitive and vivid way. This study explores the application of digital modeling technology in the digital inheritance of traditional ICH and compares three neural network models—the multi-scale detail perception network (MDPN), DenseNet, and EfficientNet. The results show that the MDPN excels in detail processing and computational efficiency, accurately reconstructing the complex textures and fine patterns in ICH images. When combined with other models, the MDPN provides users with an immersive experience when both viewing and creating ICH. In conclusion, digital modeling technology is becoming an important tool for promoting the widespread dissemination of ICH.

International Journal of Cognitive Informatics and Natural IntelligenceVol. 19(1)
Beijing Union University (CN)
Beijing Union University
Openalex Percentile: Top 3%
Digital Media and Visual Art
7.08
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Research on Interactive Experience and Inheritance Development of Traditional Craft Intangible Cultural Heritage Based on Digital Technology — Linxue Lyu · International Journal of Cognitive Informatics and Natural Intelligence (2025) | TGRS Research Map | TGRS