Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
Source abstract
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.
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Research context
OpenAlex topics: Textile materials and evaluations
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Infrastructure Engineering, Nanchang University, Nanchang 330031, China
College of Mechanical and Vehicle Engineering, Hunan University, Hunan 410082, China
School of Mechanical Engineering, Tianjin University, Tianjin 300350, China
Laboratoire de mécanique des solides, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, France
Funding
National Natural Science Foundation of China · Jiangxi Provincial Natural Science Foundation
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