Skin Function Estimation via Topological Feature Extraction
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Solution Overview
Problem
Conventional technologies analyze the condition of biological tissues but fail to accurately estimate the function of biological tissues, such as skin barrier function, which is essential for assessing skin health and disease prediction.
Innovation Solution
An estimation method and device that capture skin images to extract feature vectors based on topological information, using an estimation model constructed from past measurement data to accurately estimate parameters related to skin function, including TEWL and moisture content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional optical methods or skin surface analysis methods are used, then tissue condition analysis is possible, but accurate estimation of skin function parameters (such as TEWL and moisture content) cannot be achieved
Solution Approach 1:
The patent introduces an estimation model as an intermediary between skin image data and skin function parameters. This model, constructed from past actual measurement data, enables indirect estimation of skin function parameters (TEWL, moisture content) that cannot be directly measured from images alone, thereby resolving the information loss while maintaining measurement precision
Solution Approach 2:
The patent creates a virtual copy of skin function parameters through computational estimation based on image features. By constructing an estimation model that replicates the relationship between skin appearance and function parameters, the system can estimate current skin function without direct physical measurement, achieving accurate parameter estimation where conventional methods fail
2Measurement precision
If accurate estimation of skin function parameters is achieved through complex measurement methods, then skin health assessment improves, but measurement convenience and environmental flexibility deteriorate
Solution Approach 1:
The patent replaces complex mechanical measurement systems (TEWL meters, corneometers) with an image-based estimation system. By substituting physical measurement devices with computational estimation based on skin images and topological features, the system achieves comparable accuracy while dramatically improving ease of operation and environmental flexibility
Solution Approach 2:
The patent transforms the measurement approach by changing from direct physical parameter measurement to indirect estimation through image feature analysis. By extracting topological information from skin images and using these features as inputs to the estimation model, the system achieves accurate skin function parameter estimation without requiring complex measurement equipment or controlled environments
Data Source
AI summary
An estimation method for estimating a parameter related to skin function is provided. The estimation method includes an image acquisition step for acquiring a skin image in which unevenness of a skin surface is captured; an extraction step for extracting a feature vector based on topological information on the skin image from the skin image acquired in the image acquisition step; an estimation step for estimating the parameter related to skin function based on the feature vector extracted in the extraction step, using an estimation model constructed based on past actual measurement data in which feature vectors are associated with the parameter related to skin function; and a presentation step for presenting the parameter related to skin function estimated in the estimation step.