Hengchao Yun
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Hengchao Yun has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Gaihua Wang
School of Digital Arts, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
1 shared publication - Lixin Yang
School of Digital Arts, Xi’an University of Posts and Telecommunications, Xi’an 710121, China
1 shared publication - Qingyuan Zheng
Shaanxi Provincial Key Laboratory of Intelligent Media, Xi’an 710121, China
1 shared publication - Tianmuran Liu
Shaanxi Provincial Key Laboratory of Intelligent Media, Xi’an 710121, China
1 shared publication
Latest Publications
- Open Access
- 28 April 2026
- Published by MDPI AG in Multimodal Technologies and Interaction
- Vol. 10 (5) , 46
AI-Enhanced Motion Capture for Multimodal Interaction in Chinese Shadow Puppetry Heritage
This study examines how AI-enhanced motion capture (AI-MoCap) mediates the preservation, transmission, and re-creation of Chinese shadow puppetry as performative intangible cultural heritage. Through a state-of-the-art review and comparative analysis of three representative application models—technology-driven, culturally integrated, and entertainment-oriented—the paper explores how AI-MoCap supports the digitization of performative techniques while reshaping modes of cultural presentation and interaction. Cross-case comparison highlights recurring tensions between technical standardization and cultural authenticity while also indicating possibilities for symbolic reconstruction, contextual continuity, and ethically grounded design. Based on this comparison, the paper develops a dual-channel inheritance framework—“perception–symbol” and “design–performance”—and treats cultural resolution and digital ethics as analytical and normative principles for resisting algorithmic homogenization. Rather than functioning only as a digitization tool, AI-MoCap can be understood as a mediating mechanism whose cultural value depends on how it remains embedded in community-based performative logics, symbolic systems, and ethical boundaries. The resulting framework offers transferable guidance for future research, curation, training, and policy discussion in the digital safeguarding of performance-based heritage.
- 28 April 2026
- Published by MDPI AG in Multimodal Technologies and Interaction
- Vol. 10 (5) , 46
Open AccessAI-Enhanced Motion Capture for Multimodal Interaction in Chinese Shadow Puppetry Heritage
This study examines how AI-enhanced motion capture (AI-MoCap) mediates the preservation, transmission, and re-creation of Chinese shadow puppetry as performative intangible cultural heritage. Through a state-of-the-art review and comparative analysis of three representative application models—technology-driven, culturally integrated, and entertainment-oriented—the paper explores how AI-MoCap supports the digitization of performative techniques while reshaping modes of cultural presentation and interaction. Cross-case comparison highlights recurring tensions between technical standardization and cultural authenticity while also indicating possibilities for symbolic reconstruction, contextual continuity, and ethically grounded design. Based on this comparison, the paper develops a dual-channel inheritance framework—“perception–symbol” and “design–performance”—and treats cultural resolution and digital ethics as analytical and normative principles for resisting algorithmic homogenization. Rather than functioning only as a digitization tool, AI-MoCap can be understood as a mediating mechanism whose cultural value depends on how it remains embedded in community-based performative logics, symbolic systems, and ethical boundaries. The resulting framework offers transferable guidance for future research, curation, training, and policy discussion in the digital safeguarding of performance-based heritage.