一种动态生成运动处方的方法、系统、介质及产品
By combining users' historical health records and real-time physiological parameters with machine learning models, exercise prescriptions are dynamically adjusted to suit different exercise scenarios. This solves the problem that traditional exercise advice cannot meet individual differences and scenario adaptation, thereby improving exercise effectiveness and safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- 北京一石科技有限责任公司
- Filing Date
- 2025-01-15
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional exercise recommendations fail to meet the diverse health needs of individuals, and the generated exercise prescriptions cannot fully consider whether the user's current exercise scenario is suitable for exercise, resulting in poor exercise effects.
The machine learning model generates an initial exercise prescription based on the user's historical health records and real-time physiological parameters. It then dynamically adjusts the exercise prescription to suit the user's physical condition and exercise scenario by combining the user's current geographical location and exercise scenario information.
It improves the compatibility of exercise prescriptions with exercise scenarios, enabling users to exercise smoothly in their current exercise environment and achieve the expected exercise results, while ensuring the scientific nature of exercise safety and health management.
Smart Images
Figure CN120089280B_ABST