Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model

Subjective scaling of friction is important in many applications in haptic technology. A nonhomogeneous biomechanical finite element model of fingertip is proposed in order to predict neural response of sensitive mechanoreceptors to frictional stimuli (Slowly Adapting SAII receptors under the glabro...

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Main Author: Mohammad Abdolvahab
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.3233/ABB-2012-0060
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author Mohammad Abdolvahab
author_facet Mohammad Abdolvahab
author_sort Mohammad Abdolvahab
collection DOAJ
description Subjective scaling of friction is important in many applications in haptic technology. A nonhomogeneous biomechanical finite element model of fingertip is proposed in order to predict neural response of sensitive mechanoreceptors to frictional stimuli (Slowly Adapting SAII receptors under the glabrous skin). In a guided psychophysical experiment, ten human subjects were asked to scale several standard surfaces based on the perception of their frictional properties. Contact forces deployed during the exploratory time of one of the participants were captured in order to estimate required parameters for the model of contact in the simulation procedure. Consequently, the strain energy density at the location of a selective mechanoreceptor in the finite element model as a measure of discharge rate of the neural unit was compared to the subject’s perceptual evaluation of the relevant stimuli. It was observed that the subject’s scores correlate with the discharge rate of the given receptor.
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spelling doaj-art-1c6e984716134f7eac0836adbcd48d9a2025-02-03T01:24:39ZengWileyApplied Bionics and Biomechanics1176-23221754-21032012-01-019329330210.3233/ABB-2012-0060Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical ModelMohammad Abdolvahab0Department of Computer Science, University of Sciences and Technology of Lille, Cité Scientifique, Villeneuve d’Ascq, FranceSubjective scaling of friction is important in many applications in haptic technology. A nonhomogeneous biomechanical finite element model of fingertip is proposed in order to predict neural response of sensitive mechanoreceptors to frictional stimuli (Slowly Adapting SAII receptors under the glabrous skin). In a guided psychophysical experiment, ten human subjects were asked to scale several standard surfaces based on the perception of their frictional properties. Contact forces deployed during the exploratory time of one of the participants were captured in order to estimate required parameters for the model of contact in the simulation procedure. Consequently, the strain energy density at the location of a selective mechanoreceptor in the finite element model as a measure of discharge rate of the neural unit was compared to the subject’s perceptual evaluation of the relevant stimuli. It was observed that the subject’s scores correlate with the discharge rate of the given receptor.http://dx.doi.org/10.3233/ABB-2012-0060
spellingShingle Mohammad Abdolvahab
Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
Applied Bionics and Biomechanics
title Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
title_full Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
title_fullStr Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
title_full_unstemmed Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
title_short Quantification of Subjective Scaling of Friction Using a Fingertip Biomechanical Model
title_sort quantification of subjective scaling of friction using a fingertip biomechanical model
url http://dx.doi.org/10.3233/ABB-2012-0060
work_keys_str_mv AT mohammadabdolvahab quantificationofsubjectivescalingoffrictionusingafingertipbiomechanicalmodel