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-dime...

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Main Authors: Huixin Wei, Mingjian Chen, Shibin Wang, Zhiyong Wang, Baopeng Liao, Zehui Lin, Lisha He, Wei He
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/12/6803
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author Huixin Wei
Mingjian Chen
Shibin Wang
Zhiyong Wang
Baopeng Liao
Zehui Lin
Lisha He
Wei He
author_facet Huixin Wei
Mingjian Chen
Shibin Wang
Zhiyong Wang
Baopeng Liao
Zehui Lin
Lisha He
Wei He
author_sort Huixin Wei
collection DOAJ
description 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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institution Kabale University
issn 2076-3417
language English
publishDate 2025-06-01
publisher MDPI AG
record_format Article
series Applied Sciences
spelling doaj-art-381b428df4244284b5cc3a11e99d84fe2025-08-20T03:32:31ZengMDPI AGApplied Sciences2076-34172025-06-011512680310.3390/app15126803Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding SystemHuixin Wei0Mingjian Chen1Shibin Wang2Zhiyong Wang3Baopeng Liao4Zehui Lin5Lisha He6Wei He7School of Infrastructure Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Infrastructure Engineering, Nanchang University, Nanchang 330031, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, ChinaSchool of Mechanical Engineering, Tianjin University, Tianjin 300350, ChinaSchool of Infrastructure Engineering, Nanchang University, Nanchang 330031, ChinaLaboratoire de mécanique des solides, École Polytechnique, Institut Polytechnique de Paris, 91128 Palaiseau, FranceSchool of Infrastructure Engineering, Nanchang University, Nanchang 330031, ChinaCollege of Mechanical and Vehicle Engineering, Hunan University, Hunan 410082, ChinaFacial 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.https://www.mdpi.com/2076-3417/15/12/6803deformation characteristicsFacial Action Coding Systemfacial expressionfinite elementskin wrinkles
spellingShingle Huixin Wei
Mingjian Chen
Shibin Wang
Zhiyong Wang
Baopeng Liao
Zehui Lin
Lisha He
Wei He
Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
Applied Sciences
deformation characteristics
Facial Action Coding System
facial expression
finite element
skin wrinkles
title Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
title_full Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
title_fullStr Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
title_full_unstemmed Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
title_short Study on the Wrinkling Mechanisms of Human Skin Based on the Digital Image Correlation and Facial Action Coding System
title_sort study on the wrinkling mechanisms of human skin based on the digital image correlation and facial action coding system
topic deformation characteristics
Facial Action Coding System
facial expression
finite element
skin wrinkles
url https://www.mdpi.com/2076-3417/15/12/6803
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