Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization

Detalhes bibliográficos
Autor(a) principal: Castro, Fabian [UNESP]
Data de Publicação: 2020
Outros Autores: Savaris, Weslin [UNESP], Araujo, Rafael [UNESP], Costa, Andressa [UNESP], Sanches, Marcelo [UNESP], De Carvalho, Aparecido [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/JSEN.2020.2998700
http://hdl.handle.net/11449/201071
Resumo: The use and development of plantar pressure measurement systems (PPMs) have increased in recent years, in order to understand and objectively evaluate the interaction between the feet and the support surfaces. The PPMs are mainly made with resistive sensor arrays, which have problems associated with crosstalk reading errors. Several circuits aimed at reducing the crosstalk effect have been investigated; however, none of these circuits were evaluated in large-area matrices or practical applications. Thus, in this work, we explain the development and characterization of the LiebScan system, which is a stationary PPMs with 2304 sensels based on the improved isolated drive feedback circuit for crosstalk control. The commercial equipment recommended for PPM linearization and characterization of a large-area matrix is a high-cost pneumatic device. In this sense, we propose a characterization by areas using a universal testing machine and an artificial neural network, since each sensel has an individual and unique response. Although the LiebScan system supports pressures up to 300 kPa, it presents competitive characteristics when compared with commercial equipment, in terms of accuracy, hysteresis, creep, crosstalk, and center of pressure processing. The most remarkable feature among these cited before is the low crosstalk effect, with a mean error of 0.23%. The pressures measured because of this crosstalk error are below the pressure threshold, thus, the crosstalk effect is practically null. This work describes the design, development, characterization and detailed evaluation of a PPMs with commercial features.
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spelling Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterizationartificial neural networkcrosstalk effectimproved isolated drive feedback circuitPlantar pressuresensor arrayThe use and development of plantar pressure measurement systems (PPMs) have increased in recent years, in order to understand and objectively evaluate the interaction between the feet and the support surfaces. The PPMs are mainly made with resistive sensor arrays, which have problems associated with crosstalk reading errors. Several circuits aimed at reducing the crosstalk effect have been investigated; however, none of these circuits were evaluated in large-area matrices or practical applications. Thus, in this work, we explain the development and characterization of the LiebScan system, which is a stationary PPMs with 2304 sensels based on the improved isolated drive feedback circuit for crosstalk control. The commercial equipment recommended for PPM linearization and characterization of a large-area matrix is a high-cost pneumatic device. In this sense, we propose a characterization by areas using a universal testing machine and an artificial neural network, since each sensel has an individual and unique response. Although the LiebScan system supports pressures up to 300 kPa, it presents competitive characteristics when compared with commercial equipment, in terms of accuracy, hysteresis, creep, crosstalk, and center of pressure processing. The most remarkable feature among these cited before is the low crosstalk effect, with a mean error of 0.23%. The pressures measured because of this crosstalk error are below the pressure threshold, thus, the crosstalk effect is practically null. This work describes the design, development, characterization and detailed evaluation of a PPMs with commercial features.Postgraduate Program in Electrical Engineering UNESP-São Paulo State University Ilha Solteira CampusPostgraduate Program in Electrical Engineering UNESP-São Paulo State University Ilha Solteira CampusUniversidade Estadual Paulista (Unesp)Castro, Fabian [UNESP]Savaris, Weslin [UNESP]Araujo, Rafael [UNESP]Costa, Andressa [UNESP]Sanches, Marcelo [UNESP]De Carvalho, Aparecido [UNESP]2020-12-12T02:23:21Z2020-12-12T02:23:21Z2020-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article11034-11043http://dx.doi.org/10.1109/JSEN.2020.2998700IEEE Sensors Journal, v. 20, n. 19, p. 11034-11043, 2020.1558-17481530-437Xhttp://hdl.handle.net/11449/20107110.1109/JSEN.2020.29987002-s2.0-85091004361Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Sensors Journalinfo:eu-repo/semantics/openAccess2024-07-04T19:06:47Zoai:repositorio.unesp.br:11449/201071Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:26:56.659836Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
title Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
spellingShingle Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
Castro, Fabian [UNESP]
artificial neural network
crosstalk effect
improved isolated drive feedback circuit
Plantar pressure
sensor array
title_short Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
title_full Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
title_fullStr Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
title_full_unstemmed Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
title_sort Plantar Pressure Measurement System with Improved Isolated Drive Feedback Circuit and ANN: Development and Characterization
author Castro, Fabian [UNESP]
author_facet Castro, Fabian [UNESP]
Savaris, Weslin [UNESP]
Araujo, Rafael [UNESP]
Costa, Andressa [UNESP]
Sanches, Marcelo [UNESP]
De Carvalho, Aparecido [UNESP]
author_role author
author2 Savaris, Weslin [UNESP]
Araujo, Rafael [UNESP]
Costa, Andressa [UNESP]
Sanches, Marcelo [UNESP]
De Carvalho, Aparecido [UNESP]
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Castro, Fabian [UNESP]
Savaris, Weslin [UNESP]
Araujo, Rafael [UNESP]
Costa, Andressa [UNESP]
Sanches, Marcelo [UNESP]
De Carvalho, Aparecido [UNESP]
dc.subject.por.fl_str_mv artificial neural network
crosstalk effect
improved isolated drive feedback circuit
Plantar pressure
sensor array
topic artificial neural network
crosstalk effect
improved isolated drive feedback circuit
Plantar pressure
sensor array
description The use and development of plantar pressure measurement systems (PPMs) have increased in recent years, in order to understand and objectively evaluate the interaction between the feet and the support surfaces. The PPMs are mainly made with resistive sensor arrays, which have problems associated with crosstalk reading errors. Several circuits aimed at reducing the crosstalk effect have been investigated; however, none of these circuits were evaluated in large-area matrices or practical applications. Thus, in this work, we explain the development and characterization of the LiebScan system, which is a stationary PPMs with 2304 sensels based on the improved isolated drive feedback circuit for crosstalk control. The commercial equipment recommended for PPM linearization and characterization of a large-area matrix is a high-cost pneumatic device. In this sense, we propose a characterization by areas using a universal testing machine and an artificial neural network, since each sensel has an individual and unique response. Although the LiebScan system supports pressures up to 300 kPa, it presents competitive characteristics when compared with commercial equipment, in terms of accuracy, hysteresis, creep, crosstalk, and center of pressure processing. The most remarkable feature among these cited before is the low crosstalk effect, with a mean error of 0.23%. The pressures measured because of this crosstalk error are below the pressure threshold, thus, the crosstalk effect is practically null. This work describes the design, development, characterization and detailed evaluation of a PPMs with commercial features.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-12T02:23:21Z
2020-12-12T02:23:21Z
2020-10-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/JSEN.2020.2998700
IEEE Sensors Journal, v. 20, n. 19, p. 11034-11043, 2020.
1558-1748
1530-437X
http://hdl.handle.net/11449/201071
10.1109/JSEN.2020.2998700
2-s2.0-85091004361
url http://dx.doi.org/10.1109/JSEN.2020.2998700
http://hdl.handle.net/11449/201071
identifier_str_mv IEEE Sensors Journal, v. 20, n. 19, p. 11034-11043, 2020.
1558-1748
1530-437X
10.1109/JSEN.2020.2998700
2-s2.0-85091004361
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv IEEE Sensors Journal
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 11034-11043
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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