Skin Condition Estimation Using Hormone Balance Regression
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Solution Overview
Problem
Current skin condition estimation methods, such as those described in JP2020-14710A, can estimate current skin conditions using muscle amount as an index but fail to predict future skin conditions effectively.
Innovation Solution
A skin condition estimation method that acquires information related to hormone balance, including basal body temperature, brain waves, blood, saliva, and urine, and uses regression analysis with a machine learning model to estimate future skin conditions by inputting this information into a regression model, allowing for prediction up to 13 days in advance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If muscle amount is used as an index for skin condition estimation, then current skin condition can be estimated, but future skin condition cannot be predicted
Solution Approach 1:
The patent changes the parameter used for estimation from muscle amount to hormone balance information (basal body temperature, brain waves, blood, saliva, urine). This parameter change enables the system to not only estimate current skin conditions but also predict future skin conditions by capturing the dynamic physiological states that precede skin changes.
Solution Approach 2:
The patent measures hormone balance information in advance before skin conditions actually manifest. By detecting changes in hormone balance (through basal body temperature, brain waves, blood, saliva, or urine) before they appear as visible skin changes, the system can predict future skin conditions and enable preventive care.
2Measurement precision
If multiple hormone balance information types are collected, then prediction accuracy improves, but measurement complexity increases
Solution Approach 1:
The patent employs a universal measurement approach where a single information acquisition unit can collect multiple types of hormone balance information (basal body temperature, brain waves, blood, saliva, urine). This multi-functional capability allows the system to adaptively select the most appropriate measurement method based on the specific prediction needs while maintaining a unified system architecture.
Data Source
AI summary
A skin condition estimation method of the present disclosure is a skin condition estimation method executed by a computer and includes: acquiring first information related to hormone balance; and estimating a future skin condition on an estimation date after a first acquisition date on which the first information is acquired based on the first information.