Skin Ageotype Classification for Personalized Skincare Recommendations
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Solution Overview
Problem
Current skincare treatments lack personalization, as they do not account for individual variations in aging processes, leading to ineffective management of clinical signs of aging.
Innovation Solution
A skincare personalization computing system that determines a subject's skin ageotype based on facial structure, expressions, skin tone, and biological data, providing tailored skincare recommendations to address specific clinical signs of aging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional skincare treatments are used, then treatment coverage is broad, but personalization and effectiveness for individual aging processes are insufficient
Solution Approach 1:
The patent segments the homogeneous aging process into distinct ageotypes (inflammaging, glycation, dehydration, metabolic) based on biological markers. This segmentation enables personalized treatment recommendations for each ageotype while maintaining a manageable classification system that doesn't require excessive complexity.
Solution Approach 2:
The patent uses changes in biological parameters (inflammatory markers, glycated proteins, hydration levels, metabolic indicators) to define and differentiate ageotypes. By monitoring these parameter changes, the system achieves personalization without requiring overly complex diagnostic infrastructure.
2Measurement precision
If comprehensive biological data analysis is performed, then prediction accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent extracts and focuses on specific key biological markers relevant to each ageotype (inflammatory markers for inflammaging, glycated proteins for glycation, etc.) rather than analyzing all possible biological data. This extraction approach maintains high prediction accuracy while reducing data processing complexity to manageable levels.
3Reliability
If personalized skincare recommendations are provided, then treatment effectiveness increases, but implementation complexity increases
Solution Approach 1:
The patent provides dynamic, adaptable skincare recommendations that can be adjusted based on the user's specific ageotype and progression. The system maintains ease of operation by offering clear, actionable guidance tailored to each ageotype while allowing for future adjustments as the user's skin condition evolves.
Data Source
AI summary
In some embodiments, a method of determining a personalized skincare recommendation is provided. A computing system receives data depicting a face of a subject. The computing system determines features based on the data depicting the face of the subject. The computing system provides the features to an ageotype classifier to generate a predicted skin ageotype for the subject. The computing system generates the personalized skincare recommendation based on at least the predicted skin ageotype.