Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System

Facial wrinkles are a key indicator of aging and hold significant importance in skincare, cosmetics, and cosmetology. Their formation is closely linked to mechanical deformation, yet the underlying processes remain complex. This study integrates the Facial Action Coding System (FACS) with three-dimensional digital image correlation (3D-DIC) to dynamically capture and quantitatively analyze skin deformation during facial expression. Principal strains and their orientation are introduced as important parameters to investigate the relationship between mechanical behavior and wrinkle formation. To further explore these interactions, a four-layer finite element (FE) model incorporating a muscle layer is developed, simulating muscle contraction and its influence on skin deformation. The findings provide a mechanobiological framework for understanding wrinkle formation and may inspire the development of strain-sensitive sensors for real-time detection of microstructural deformations.

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Publication Details

Journal
Applied Sciences
Published
2025-06-17
DOI
https://doi.org/10.3390/app15126803
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System

Mingjian Chen, Huixin Wei, Baopeng Liao, Lisha He et al.
Applied Sciences
Textile materials and evaluations
article

Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System

Mingjian Chen, Huixin Wei, Baopeng Liao, Lisha He, Wei He, Zhiyong Wang, Zehui Lin, Shibin Wang
article en

Abstract

Facial wrinkles are a key indicator of aging and hold significant importance in skincare, cosmetics, and cosmetology. Their formation is closely linked to mechanical deformation, yet the underlying processes remain complex. This study integrates the Facial Action Coding System (FACS) with three-dimensional digital image correlation (3D-DIC) to dynamically capture and quantitatively analyze skin deformation during facial expression. Principal strains and their orientation are introduced as important parameters to investigate the relationship between mechanical behavior and wrinkle formation. To further explore these interactions, a four-layer finite element (FE) model incorporating a muscle layer is developed, simulating muscle contraction and its influence on skin deformation. The findings provide a mechanobiological framework for understanding wrinkle formation and may inspire the development of strain-sensitive sensors for real-time detection of microstructural deformations.

Applied SciencesVol. 15(12)
Nanchang University (CN), École Polytechnique (FR), Tianjin University (CN), Hunan University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Nanchang University
Openalex Percentile: Top 89%
Textile materials and evaluations
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Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System — Mingjian Chen, Huixin Wei, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS