Health education interaction system and method based on virtual reality and deep learning

Through a health education system combining virtual reality and deep learning, the problems of insufficient interactivity, personalization and feedback of the existing systems are solved, and an immersive and personalized health education experience is realized, which improves users' health literacy and behavior formation ability.

CN120469585AInactive Publication Date: 2025-08-12NANFANG HOSPITAL OF SOUTHERN MEDICAL UNIV
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Patent Information

Application Number
CN202510909159.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-02
Publication Date
2025-08-12
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

The existing health education system has shortcomings in terms of interactivity, personalization, data integration capabilities and real-time feedback, and cannot provide personalized content and instant guidance based on users' learning progress and health status.

Method used

Combining virtual reality technology and deep learning algorithms, we design somatosensory game modules, VR video teaching modules, health education reading modules, physical test motion modules and intelligent analysis modules to realize multimodal data fusion and personalized health assessments, and provide immersive and real-time feedback health education experience.

Benefits of technology

It improves users' learning participation and health literacy, provides personalized health advice and instant feedback, forms a comprehensive health education ecosystem, and improves the efficiency of dissemination of health knowledge and behavior formation capabilities.

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Abstract

The invention relates to the technical field of education, in particular to a health education interaction system and method based on virtual reality and deep learning. The health education interaction system creatively integrates motion sensing games, VR video teaching, personalized reading and a body measurement motion module, and all-around and immersive learning experience is created; the system motivates the participation degree of a user through a motion sensing game, interactive learning is achieved through VR video teaching, personalized reading meets the requirements of the user, and the health state is monitored through motion measurement. The intelligent analysis module is used for deeply mining data and providing personalized health assessment and suggestions; the self-learning unit continuously optimizes a knowledge base and a recommendation algorithm, and constructs a dynamic health knowledge graph; the system breaks through the limitation of traditional health education, improves the knowledge propagation efficiency and acceptance, effectively promotes the formation and maintenance of health behaviors, and brings revolutionary change to the field of health education.
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