Study on Virtual Archaeological Animation Design and User Interaction in Mediterranean Smart Museums Using Deep Learning

Abstract

In the context of Mediterranean archaeology, the virtual animation design and user interaction in smart museums play a crucial role in showcasing and preserving cultural heritage. However, traditional methods primarily rely on the Unreal β engine for dynamic rendering of HDR graphics, which are susceptible to variations in shadow dynamic effects, leading to suboptimal animation design and user interaction outcomes. To address this, we propose a deep learning-based method for virtual archaeological animation design and user interaction in Mediterranean smart museums. This approach involves generating a virtual archaeological animation design engine for smart museums and optimizing the user interaction process using deep learning techniques, thereby enhancing the realism of virtual archaeological animations and user engagement. Experimental results demonstrate significant improvements in animation fluidity and user satisfaction, validating the method's promising application prospects and reliability in archaeological exhibitions and cultural heritage preservation in the Mediterranean region. This contributes substantially to the overall performance enhancement of smart museums.