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Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors
Knowledge of foot growth can provide information on the occurrence of children’s growth spurts and an indication of the time to buy new shoes. Podiatrists still do not have enough evidence as to whether footwear influences the structural development of the feet and associated locomotor behaviours. P...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738577/ https://www.ncbi.nlm.nih.gov/pubmed/36502203 http://dx.doi.org/10.3390/s22239499 |
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author | De Guzman, Sarah Lowe, Andrew Williams, Cylie Kalra, Anubha Anand, Gautam |
author_facet | De Guzman, Sarah Lowe, Andrew Williams, Cylie Kalra, Anubha Anand, Gautam |
author_sort | De Guzman, Sarah |
collection | PubMed |
description | Knowledge of foot growth can provide information on the occurrence of children’s growth spurts and an indication of the time to buy new shoes. Podiatrists still do not have enough evidence as to whether footwear influences the structural development of the feet and associated locomotor behaviours. Parents are only willing to buy an inexpensive brand, because children’s shoes are deemed expendable due to their rapid foot growth. Consumers are not fully aware of footwear literacy; thus, views of consumers on children’s shoes are left unchallenged. This study aims to embed knitted smart textile sensors in children’s shoes to sense the growth and development of a child’s feet—specifically foot length. Two prototype configurations were evaluated on 30 children, who each inserted their feet for ten seconds inside the instrumented shoes. Capacitance readings were related to the proximity of their toes to the sensor and validated against foot length and shoe size. A linear regression model of capacitance readings and foot length was developed. This regression model was found to be statistically significant (p-value = 0.01, standard error = 0.08). Results of this study indicate that knitted textile sensors can be implemented inside shoes to get a comprehensive understanding of foot development in children. |
format | Online Article Text |
id | pubmed-9738577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97385772022-12-11 Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors De Guzman, Sarah Lowe, Andrew Williams, Cylie Kalra, Anubha Anand, Gautam Sensors (Basel) Article Knowledge of foot growth can provide information on the occurrence of children’s growth spurts and an indication of the time to buy new shoes. Podiatrists still do not have enough evidence as to whether footwear influences the structural development of the feet and associated locomotor behaviours. Parents are only willing to buy an inexpensive brand, because children’s shoes are deemed expendable due to their rapid foot growth. Consumers are not fully aware of footwear literacy; thus, views of consumers on children’s shoes are left unchallenged. This study aims to embed knitted smart textile sensors in children’s shoes to sense the growth and development of a child’s feet—specifically foot length. Two prototype configurations were evaluated on 30 children, who each inserted their feet for ten seconds inside the instrumented shoes. Capacitance readings were related to the proximity of their toes to the sensor and validated against foot length and shoe size. A linear regression model of capacitance readings and foot length was developed. This regression model was found to be statistically significant (p-value = 0.01, standard error = 0.08). Results of this study indicate that knitted textile sensors can be implemented inside shoes to get a comprehensive understanding of foot development in children. MDPI 2022-12-05 /pmc/articles/PMC9738577/ /pubmed/36502203 http://dx.doi.org/10.3390/s22239499 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article De Guzman, Sarah Lowe, Andrew Williams, Cylie Kalra, Anubha Anand, Gautam Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title | Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title_full | Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title_fullStr | Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title_full_unstemmed | Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title_short | Comprehensive Understanding of Foot Development in Children Using Capacitive Textile Sensors |
title_sort | comprehensive understanding of foot development in children using capacitive textile sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9738577/ https://www.ncbi.nlm.nih.gov/pubmed/36502203 http://dx.doi.org/10.3390/s22239499 |
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