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Multi-Scale Strain-Friction Mapping in Human Finger Pads Using 3D-Digital Image Correlation and Optical Coherence Tomography
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Zing Siang Lee1, 2, Raman Maiti3, Matt Carré2, Roger Lewis2
Biosurface and Biotribology | 2026, 12(1) : e70020
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Biosurface and Biotribology | 2026, 12(1): e70020
• ORIGINAL RESEARCH •
Multi-Scale Strain-Friction Mapping in Human Finger Pads Using 3D-Digital Image Correlation and Optical Coherence Tomography
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Zing Siang Lee1, 2, Raman Maiti3, Matt Carré2, Roger Lewis2
Affiliations
  • 1Robotics Institute, Ningbo University of Technology, Ningbo, China
  • 2School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, UK
  • 3School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK
doi: 10.1049/bsb2.70020
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Finger pad strain governs grip control and tactile feedback, yet in vivo measurements during sliding remain scarce. This feasibility study utilised 3D-digital image correlation (3D-DIC) and optical coherence tomography (OCT) for quantifying surface strains and subsurface deformation in a human finger pad during static/dynamic glass contact, linking both to the respective friction behaviour. Principal strains increase systematically with normal load (0.5-3 N), concentrating at the mechanoreceptor-rich fingertip under dynamic sliding (peak ε1 2%-7.5%). Friction (CoF 0.4-0.8) and apparent contact area follow load-dependent power laws, with adhesion dominating. Multiscale imaging validates surface strain as a reliable friction predictor, providing good proof-of-concept for strain-based human finger pad friction modelling despite subsurface measurement limitations.

digital image correlation  /  finger-pad tribology  /  friction  /  optical coherence tomography  /  surface strain
Zing Siang Lee, Raman Maiti, Matt Carré, Roger Lewis. Multi-Scale Strain-Friction Mapping in Human Finger Pads Using 3D-Digital Image Correlation and Optical Coherence Tomography[J]. Biosurface and Biotribology, 2026 , 12 (1) : e70020 - . DOI: 10.1049/bsb2.70020
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Year 2026 volume 12 Issue 1
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Article Info
doi: 10.1049/bsb2.70020
  • Receive Date：2025-06-19
  • Online Date：2026-08-27
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  • Received：2025-06-19
  • Revised：2026-02-10
  • Accepted：2026-03-21
Affiliations
    1Robotics Institute, Ningbo University of Technology, Ningbo, China
    2School of Mechanical, Aerospace and Civil Engineering, University of Sheffield, Sheffield, UK
    3School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough, UK

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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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