ORIGINAL RESEARCH article

Front. Bioeng. Biotechnol.

Sec. Biomechanics

Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1632806

This article is part of the Research TopicRevolutionizing sports science: Biomechanical models, wearable tech, and AIView all articles

A Novel Anthropometric Method to Accurately Evaluate Tissue Deformation

Provisionally accepted
Chongyang  YeChongyang Ye1Xiaolu  LIXiaolu LI1Haiyan  SongHaiyan Song2Shi  YuShi Yu1Ruixin  LiangRuixin Liang1Jun  ZhangJun Zhang1Ka  Po LeeKa Po Lee1Zhaolong  ChenZhaolong Chen1Beibei  ZhouBeibei Zhou1Raymond  Kai-yu TongRaymond Kai-yu Tong3Kit Lun  YickKit Lun Yick1Sun-Pui  NgSun-Pui Ng1Joanne  YipJoanne Yip1*
  • 1The Hong Kong Polytechnic University, Hong Kong, Hong Kong, SAR China
  • 2Shenzhen Second People's Hospital, Shenzhen, China
  • 3The Chinese University of Hong Kong, Hong Kong, Hong Kong, SAR China

The final, formatted version of the article will be published soon.

Biomechanical imaging through body scanning can provide a more comprehensive understanding of the soft tissue deformation exerted by compression sportswear, which is crucial in sports science research and functional sportswear design. However, displacement from movement affects alignment so accurately measuring tissue deformation with different wear conditions becomes challenging. To address this issue, an analytical model is constructed to predict tissue deformation by using the Boussinesq solution, which is based on the elastic theory and stress function method. Moreover, a novel anthropometric method based on image recognition algorithms that systematically measures and evaluates tissue deformation while minimizing the impact of the effects of motion is proposed. The mechanical properties of five leggings samples are tested by using the Instron 4411 and KES-FB1 systems to determine the uniaxial tension and pure shear. The predicted results are then compared with the experimental results, which shows that they are in good agreement, with deviations within 1.15 mm for the static condition and 2.36 mm for the dynamic condition, thus validating the proposed novel method. This anthropometric approach is an invaluable tool for evaluating tissue deformation patterns, thus providing key insights for sportswear designers to optimize garment performance and design.

Keywords: anthropometric method, body scanning/imaging, Soft tissue deformation, Sportswear design, Analytical model

Received: 21 May 2025; Accepted: 14 Jul 2025.

Copyright: © 2025 Ye, LI, Song, Yu, Liang, Zhang, Lee, Chen, Zhou, Tong, Yick, Ng and Yip. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Joanne Yip, The Hong Kong Polytechnic University, Hong Kong, Hong Kong, SAR China

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