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Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system

This paper presents the development and application of a multiparameter, quasi-distributed smart textile based on embedded highly stretchable polymer optical fiber (POF) sensors. The POF is fabricated using the light polymerization spinning process, resulting a highly stretchable optical fiber, so-c...

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Autores principales: Leal-Junior, Arnaldo, Avellar, Leticia, Frizera, Anselmo, Marques, Carlos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431548/
https://www.ncbi.nlm.nih.gov/pubmed/32807827
http://dx.doi.org/10.1038/s41598-020-70880-8
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author Leal-Junior, Arnaldo
Avellar, Leticia
Frizera, Anselmo
Marques, Carlos
author_facet Leal-Junior, Arnaldo
Avellar, Leticia
Frizera, Anselmo
Marques, Carlos
author_sort Leal-Junior, Arnaldo
collection PubMed
description This paper presents the development and application of a multiparameter, quasi-distributed smart textile based on embedded highly stretchable polymer optical fiber (POF) sensors. The POF is fabricated using the light polymerization spinning process, resulting a highly stretchable optical fiber, so-called LPS-POF, with Young’s modulus and elastic limits of 15 MPa and 17%, respectively. The differential scanning calorimetry shows a thermal stability of the LPS-POF in temperature range of 13–40 °C. The developed sensors are based on the optical power variation, which results in a fully portable and low-cost technique. In order to obtain a multiplexed sensor system, a technique based on flexible light emitting diodes (LEDs) on–off keying modulation is applied, where each LED represents the response of one sensor. The smart textile comprises of LPS-POF and three flexible LEDs embedded in neoprene textile fabric. The performance of the system is evaluated for temperature, transverse force and angular displacement detection at different planes. The sensors presented high linearity (mean determination coefficient of 0.99) and high repeatability (inter-measurement deviations below 5%). The sensor is also applied in activity detection, where the principal component analysis (PCA) was applied in the sensors responses and, in conjunction with clustering techniques such as k-means, indicate the possibility of detecting basic activities such as walking, sitting on a chair and squatting.
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spelling pubmed-74315482020-08-18 Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system Leal-Junior, Arnaldo Avellar, Leticia Frizera, Anselmo Marques, Carlos Sci Rep Article This paper presents the development and application of a multiparameter, quasi-distributed smart textile based on embedded highly stretchable polymer optical fiber (POF) sensors. The POF is fabricated using the light polymerization spinning process, resulting a highly stretchable optical fiber, so-called LPS-POF, with Young’s modulus and elastic limits of 15 MPa and 17%, respectively. The differential scanning calorimetry shows a thermal stability of the LPS-POF in temperature range of 13–40 °C. The developed sensors are based on the optical power variation, which results in a fully portable and low-cost technique. In order to obtain a multiplexed sensor system, a technique based on flexible light emitting diodes (LEDs) on–off keying modulation is applied, where each LED represents the response of one sensor. The smart textile comprises of LPS-POF and three flexible LEDs embedded in neoprene textile fabric. The performance of the system is evaluated for temperature, transverse force and angular displacement detection at different planes. The sensors presented high linearity (mean determination coefficient of 0.99) and high repeatability (inter-measurement deviations below 5%). The sensor is also applied in activity detection, where the principal component analysis (PCA) was applied in the sensors responses and, in conjunction with clustering techniques such as k-means, indicate the possibility of detecting basic activities such as walking, sitting on a chair and squatting. Nature Publishing Group UK 2020-08-17 /pmc/articles/PMC7431548/ /pubmed/32807827 http://dx.doi.org/10.1038/s41598-020-70880-8 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Leal-Junior, Arnaldo
Avellar, Leticia
Frizera, Anselmo
Marques, Carlos
Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title_full Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title_fullStr Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title_full_unstemmed Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title_short Smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
title_sort smart textiles for multimodal wearable sensing using highly stretchable multiplexed optical fiber system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7431548/
https://www.ncbi.nlm.nih.gov/pubmed/32807827
http://dx.doi.org/10.1038/s41598-020-70880-8
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