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Quantifying Tactile Perception of Fabrics Using Both Frictional and Acoustic Methods.

Laure Kyriazis1, Tugce Caykara1, Daniel Ingo Hefft1

  • 1School of Chemical Engineering, University of Birmingham, Edgbaston, Birmingham, UK.

Tribology Letters
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new method using acoustic emission (AE) signals and friction to understand tactile perception. AE signals successfully differentiate fabric textures, offering a versatile tool for sensory analysis.

Keywords:
Acoustic emissionSkin tribologyTactile perception

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Area of Science:

  • Tribology
  • Sensory Science
  • Biophysics

Background:

  • Skin friction is crucial for the tactile perception of formulated products like cosmetics and coatings.
  • Understanding the link between tribological properties and tactile perception is essential for product development.

Purpose of the Study:

  • To develop a novel method for acquiring acoustic emission (AE) signals during human finger sliding.
  • To correlate AE signals and frictional characteristics with tactile perception of various substrates.
  • To evaluate the potential of AE signals as a standalone or complementary method for sensory analysis.

Main Methods:

  • Human finger sliding experiments were conducted on fabric and non-fabric substrates.
  • Frictional forces were measured using a force plate.
  • Acoustic emission (AE) signals generated during sliding were acquired.
  • Principal Component Analysis (PCA) was used to correlate AE, friction, and sensory data.

Main Results:

  • Planar solid substrates were distinguishable based on friction alone.
  • Coefficient of Friction (CoF) values did not significantly differentiate fabric materials.
  • Acoustic emission (AE) signals successfully differentiated fabric substrates.
  • AE analysis showed potential for complementary or standalone tactile perception assessment.

Conclusions:

  • Acoustic emission (AE) provides valuable data for differentiating fabric textures, complementing traditional friction measurements.
  • The developed AE-based method shows promise for objective tactile sensory evaluation.
  • This approach offers a versatile tool for the analysis of material surface interactions and perceived texture.