Using 'Vision AI', 16,000 People Analyzed Published in International Dermatology Journal
LG Household & Health Care announced on the 16th that it has successfully identified differences in the aging speed of various facial areas, such as the eye area, lips, and facial contours, using 'Vision Artificial Intelligence (AI)' technology.
This study was published in the online edition of the renowned international journal in dermatology, the 'Journal of Investigative Dermatology'. The research, titled 'Genetic Architecture of Facial Morphological Aging through Large-Scale Facial Image Analysis and GWAS (Genome-Wide Association Study)', was conducted as part of LG Household & Health Care's skin longevity research project.
The R&I research division of LG Household & Health Care secured high-resolution facial images of approximately 16,000 Korean women aged 20 to 60 for this study. They applied facial landmark extraction technology to analyze 68 facial landmarks.
The results revealed that the aging clock progresses differently across facial areas. The eye area begins to sag more rapidly before the age of 50. Significant changes in the lips become prominent after the age of 50. In contrast, facial contours were found to change continuously across all age groups, not limited to a specific age range. LG Household & Health Care suggested, "This implies that the areas requiring focus for sagging or elasticity care differ with age," advising that "individuals in their 30s and 40s should prioritize eye wrinkle management, while those in their 50s and above should focus on enhancing elasticity around the mouth and surrounding areas."
Lee So-jeong
AI-translated with ChatGPT. Provided as is; original Korean text prevails.
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