Digital Dissemination of Textile Intangible Cultural Heritage Craftsmanship Combined with Digital Twins
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Abstract
Textile intangible cultural heritage preservation faces significant challenges in process reconstruction, semantic continuity, and interactive dissemination. To address these issues, this study proposes a digital dissemination framework that integrates digital twin technology with three-dimensional geometric reconstruction, motion capture, and immersive interaction. High-fidelity models are generated through laser scanning and multi-view photogrammetry, while IMU-based motion acquisition and skeletal animation are employed to restore complex craft operations with dynamic synchronization and predictive correction. The system further combines physics-based simulation, metadatadriven process organization, and a WebXR-enabled interaction platform to establish a closed-loop workflow linking physical behaviors with virtual representations. Considering that modern wearable sensing and digital twin systems increasingly depend on electromagnetic signal acquisition and wireless information transmission, the proposed framework also provides a reference architecture for intelligent sensing platforms involving antenna-assisted communication and multimodal electromagnetic data integration. Experimental results demonstrate a point cloud overlap rate of 94.2%, geometric reconstruction errors as low as 0.47 mm, action synchronization exceeding 90% at key process nodes, and interaction latency below 70 ms under high-load conditions. The proposed approach achieves highfidelity restoration and immersive dissemination of textile craftsmanship while offering valuable technical insights for digital heritage preservation, intelligent wearable systems, and electromagnetic-enabled interactive applications.
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