Temperature sense estimation device, temperature sense estimation method, and temperature sense estimation program
By combining walking speed, time, and environmental information on the user terminal and utilizing multiple regression or machine learning models, the problem of inaccurate temperature and cold sensation estimation in existing technologies has been solved, achieving more accurate temperature and cold sensation estimation and air conditioner control.
Patent Information
- Application Number
- CN202380103587.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2023-11-09
- Publication Date
- 2026-06-02
AI Technical Summary
Existing technologies, due to their reliance on low-precision motion data, cannot accurately calculate a user's metabolic rate, resulting in inefficient control of the air conditioner and consequently, an inability to accurately estimate the temperature sensation after walking.
By implementing a temperature and cold sensation estimation device on the user terminal, and using walking speed scale, walking time information, and environmental information, combined with a multiple regression model or machine learning model, the user's temperature and cold sensation after walking can be estimated.
It can more accurately estimate the temperature feeling after walking, is suitable for optimal control of air conditioners, reduces terminal power consumption, and is compatible with different smartphone terminals.