DocumentCode
3194778
Title
Validation of a 3-D Finite Element Human Fingerpad Model Composed of Anatomically Accurate Tissue Layers
Author
Wagner, Matt B. ; Gerling, Gregory J. ; Scanlon, Jacob
Author_Institution
Univ. of Virginia, Charlottesville
fYear
2008
fDate
13-14 March 2008
Firstpage
101
Lastpage
105
Abstract
The mechanoreceptors distributed in the finger provide a perceptual interface with our physical world. Slowly adapting type I (SA-I) mechanoreceptors translate mechanical stimulation to neural response and inform our sense of touch. This paper sought to develop a 3-D finite element model of the fingertip to help better understand how the mechanics of the skin impact SA-I mechanoreceptor response. This 3-D model has anatomically accurate external geometry, is multi-layered with accurate skin layer thicknesses and utilizes linear elastic material properties. Its mesh is also of a higher resolution compared to previous models. The model was validated using a 50 mum line load to predict fingerpad surface deflection and using an aperiodic grating to predict edge effects in the neural response. While more rigorous testing remains, the ability of the model to match published data for this subset of tasks shows its capacity to predict biologically accurate responses.
Keywords
finite element analysis; haptic interfaces; mechanoception; 3D finite element human fingerpad model; anatomically accurate tissue layers; fingerpad surface deflection; linear elastic material properties; mechanical stimulation; mechanoreceptors; neural response; perceptual interface; skin layer thicknesses; Fingers; Finite element methods; Geometry; Gratings; Humans; Material properties; Predictive models; Skin; Solid modeling; Testing; SA-I mechanoreceptor; fingertip; finite element analysis; simulation; skin; tactile sensation;
fLanguage
English
Publisher
ieee
Conference_Titel
Haptic interfaces for virtual environment and teleoperator systems, 2008. haptics 2008. symposium on
Conference_Location
Reno, NE
Print_ISBN
978-1-4244-2005-6
Type
conf
DOI
10.1109/HAPTICS.2008.4479922
Filename
4479922
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