Research on the Intelligent Development Framework of Martial Arts Cultural Products Based on Generative AI and Multi modal Interaction

Chinese martial arts are deeply rooted in the traditional culture of the Chinese nation. Throughout its historical development, it has accumulated a profound historical heritage and formed its unique cultural value. The technological innovation of generative artificial intelligence provides a new path for the modernization transformation of Chinese martial arts culture. This study proposes a framework for Chinese martial arts cultural products based on generative artificial intelligence and multimodal interaction. By combining deep learning models (such as GANs, Transformers) with blockchain and AR/VR technology, five applications were designed: technology-enabled martial arts digital products, martial arts interactive short videos, martial arts motion capture systems, martial arts education platforms, and martial arts virtual experience halls. These applications were evaluated and validated from the dimensions of user experience and market potential. Experimental results show that martial arts cultural products under generative artificial intelligence and multimodal interaction have good user experience and positive market prospects, providing theoretical and practical reference for the deep integration of martial arts culture and intelligent technology.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1145/3746469.3746516
Primary Topic
Education and Learning Interventions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Research on the Intelligent Development Framework of Martial Arts Cultural Products Based on Generative AI and Multi modal Interaction

Guo Cheng, Peng Liu
Education and Learning Interventions
article

Research on the Intelligent Development Framework of Martial Arts Cultural Products Based on Generative AI and Multi modal Interaction

Guo Cheng, Peng Liu
article en

Abstract

Chinese martial arts are deeply rooted in the traditional culture of the Chinese nation. Throughout its historical development, it has accumulated a profound historical heritage and formed its unique cultural value. The technological innovation of generative artificial intelligence provides a new path for the modernization transformation of Chinese martial arts culture. This study proposes a framework for Chinese martial arts cultural products based on generative artificial intelligence and multimodal interaction. By combining deep learning models (such as GANs, Transformers) with blockchain and AR/VR technology, five applications were designed: technology-enabled martial arts digital products, martial arts interactive short videos, martial arts motion capture systems, martial arts education platforms, and martial arts virtual experience halls. These applications were evaluated and validated from the dimensions of user experience and market potential. Experimental results show that martial arts cultural products under generative artificial intelligence and multimodal interaction have good user experience and positive market prospects, providing theoretical and practical reference for the deep integration of martial arts culture and intelligent technology.

Nanjing Xiaozhuang University (CN)
Government of Jiangsu Province
Openalex Percentile: Top 65%
Education and Learning Interventions
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 the Intelligent Development Framework of Martial Arts Cultural Products Based on Generative AI and Multi modal Interaction — Guo Cheng, Peng Liu · (2025) | TGRS Research Map | TGRS