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Published on: August 27, 2013
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.
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.
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.
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