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Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array
A compliant 2×2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm(2), similarly to the SA1...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297154/ https://www.ncbi.nlm.nih.gov/pubmed/22412304 http://dx.doi.org/10.3390/s90503161 |
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author | Oddo, Calogero Maria Beccai, Lucia Felder, Martin Giovacchini, Francesco Carrozza, Maria Chiara |
author_facet | Oddo, Calogero Maria Beccai, Lucia Felder, Martin Giovacchini, Francesco Carrozza, Maria Chiara |
author_sort | Oddo, Calogero Maria |
collection | PubMed |
description | A compliant 2×2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm(2), similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad. |
format | Online Article Text |
id | pubmed-3297154 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-32971542012-03-12 Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array Oddo, Calogero Maria Beccai, Lucia Felder, Martin Giovacchini, Francesco Carrozza, Maria Chiara Sensors (Basel) Article A compliant 2×2 tactile sensor array was developed and investigated for roughness encoding. State of the art cross shape 3D MEMS sensors were integrated with polymeric packaging providing in total 16 sensitive elements to external mechanical stimuli in an area of about 20 mm(2), similarly to the SA1 innervation density in humans. Experimental analysis of the bio-inspired tactile sensor array was performed by using ridged surfaces, with spatial periods from 2.6 mm to 4.1 mm, which were indented with regulated 1N normal force and stroked at constant sliding velocity from 15 mm/s to 48 mm/s. A repeatable and expected frequency shift of the sensor outputs depending on the applied stimulus and on its scanning velocity was observed between 3.66 Hz and 18.46 Hz with an overall maximum error of 1.7%. The tactile sensor could also perform contact imaging during static stimulus indentation. The experiments demonstrated the suitability of this approach for the design of a roughness encoding tactile sensor for an artificial fingerpad. Molecular Diversity Preservation International (MDPI) 2009-04-27 /pmc/articles/PMC3297154/ /pubmed/22412304 http://dx.doi.org/10.3390/s90503161 Text en © 2009 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Oddo, Calogero Maria Beccai, Lucia Felder, Martin Giovacchini, Francesco Carrozza, Maria Chiara Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title | Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title_full | Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title_fullStr | Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title_full_unstemmed | Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title_short | Artificial Roughness Encoding with a Bio-inspired MEMS- based Tactile Sensor Array |
title_sort | artificial roughness encoding with a bio-inspired mems- based tactile sensor array |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3297154/ https://www.ncbi.nlm.nih.gov/pubmed/22412304 http://dx.doi.org/10.3390/s90503161 |
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