Exercise recommendation method and exercise recommendation system based on physical and mental health assessment
By collecting multimodal data and using neural network models to assess an individual's physical indicators and mental health level, personalized exercise recommendations are provided. This solves the problem of low accuracy in physical and mental health assessment in existing technologies, and enables more scientific guidance for physical exercise and promotion of physical and mental health.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHANGHAI AOSTAR INTELLIGENT TECH CO LTD
- Filing Date
- 2025-05-09
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies assess physical and mental health based solely on an individual's physical and psychological condition, neglecting the impact of physical exercise on physical and mental health, resulting in low accuracy of assessment results.
By collecting an individual's body shape data, physical exercise status, and mental health level, and using devices such as depth cameras and smart bracelets to acquire multimodal data such as basic morphology, facial micro-expressions, scoliosis degree, and vision data, combined with neural network models and early warning analysis models, the system assesses an individual's physical indicators and mental health level, and provides personalized exercise recommendations.
It has improved the accuracy of physical and mental health assessments, made the recommended sports programs more targeted, enhanced individuals' enthusiasm and compliance with physical exercise, and promoted the physical and mental health development of adolescents.
Smart Images
Figure CN122135995A_ABST