A novel anthropometric method to accurately evaluate tissue deformation.

Area of Science:

• Biomechanics
• Sports Science
• Textile Engineering

Background:

• Compression sportswear requires accurate soft tissue deformation analysis for optimal design.
• Movement-induced displacement complicates accurate measurement of tissue deformation.
• Existing methods face challenges in dynamic, real-world conditions.

Purpose of the Study:

• To develop a novel method for accurately measuring soft tissue deformation under compression sportswear.
• To address the challenges posed by motion-induced displacement in biomechanical imaging.
• To provide insights for functional sportswear design and sports science research.

Main Methods:

• An analytical model using the Boussinesq solution was constructed to predict tissue deformation.
• A novel anthropometric method employing image recognition algorithms was developed.
• Mechanical properties of five legging samples were tested using uniaxial tension and pure shear.

Main Results:

• The proposed analytical model showed good agreement with experimental results.
• Deviations were within 1.15 mm for static and 2.36 mm for dynamic conditions.
• The novel anthropometric method was validated for its accuracy in measuring tissue deformation.

Conclusions:

• The developed anthropometric approach is a valuable tool for assessing tissue deformation patterns.
• This method offers key insights for optimizing sportswear performance and design.
• Accurate biomechanical imaging is crucial for advancing sports science and apparel engineering.