Research on the Dynamic Generation System of Coastal Elderly Cultural Tourism Brands Driven by Multimodal Perception

Abstract

The dynamic generation of coastal elderly cultural tourism brands needs to comprehensively consider multi-dimensional factors such as the needs of elderly tourists, scenic environment, tourism resource characteristics, service quality rating, and geographical location advantages. The existing generation methods cannot fully meet these requirements, resulting in a decrease in the effectiveness of solution generation. In this regard, a dynamic generation system of coastal elderly cultural tourism brands driven by multimodal perception is designed. The hardware part includes a data processor and a multimodal perception driver, and the software part pre-processes the collected multimodal data. The data reuse rate, retrieval and storage efficiency are enhanced through a layered architecture, and the table structure of a coastal elderly cultural tourism brand database containing 8 tables is designed. Based on the core elements, a coastal elderly cultural tourism brand generation model is constructed, and a multimodal perception decision model is designed for coastal leisure areas and historical and cultural areas, and the corresponding scene processing flow is given. The core elements are extracted using the generation model, and the software design of the coastal elderly cultural tourism brand dynamic generation system is completed by continuously optimizing the brand symbols and color system. The test results show that the average value of the brand information perception fitting curve of the design system reaches 4.2, and when the data dimension reaches 300×10³, the timeliness of brand dynamic response reaches 90%, which highlights that it can meet the high demand for brand dynamic generation when dealing with complex market environments.