ArticleScientific reports2018
Impact of finger biophysical properties on touch gestures and tactile perception: Aging and gender effects.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Preload-Free Conformal Integration of Tactile Sensors on the Fingertip's Curved Surface.Biomimetics (Basel, Switzerland) · 2026Article
- How Touch Triggers Mechanotransduction in Cutaneous Mechanoreceptors.Results and problems in cell differentiation · 2026Article
- Continuous Vibration-Driven Virtual Tactile Motion Perception Across Fingertips.Sensors (Basel, Switzerland) · 2025Article
- An innovative wearable device for sensing mechanoreceptor activation during touch.Scientific reports · 2025Article
- Article
- The human touch: A connected neuro-cellular skin-brain network.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2023Article
- Emotion Measurements Through the Touch of Materials Surfaces.Frontiers in human neuroscience · 2019Article
- Static and active tactile perception and touch anisotropy: aging and gender effect.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The human finger plays an extremely important role in tactile perception, but little is known about the role of its biophysical properties (mechanical properties, contact properties and surface topography) in tactile perception. In addition, the touch gestures used to perceive an object's properties differ among people. We combined studies on the biophysical properties and the vibrations measured from the human finger to understand the age and gender effects on the tactile perception and the difference between the touch gestures. In addition, a new algorithm, Mel-frequency cepstral coefficients (MFCCs), was used to analyze the vibratory signal obtained from the physical contact of the finger, and a surface is proposed and validated. The values obtained regarding the correlation between the tribohaptic system results and the biophysical properties show that the Young's modulus and the surface topography are the most important. An inverse correlation was observed between the MFCC and the tactile perception. This last observation explained the results of better tactile perception with left to right touch gestures. It also demonstrated a better tactile perception for women.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.