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Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures
This study aims to fabricate smart insoles using wireless Flexi force and bend sensing technology. Polyvinyl chloride (PVC) film was chosen as the substrate to hold all the sensors. The developed smart insole has a three-layer structure (insole-PVC layer-fabric layer) and is calibrated in an isolati...
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/PMC9331244/ https://www.ncbi.nlm.nih.gov/pubmed/35897973 http://dx.doi.org/10.3390/s22155469 |
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author | Lakho, Rafique Ahmed Abro, Zamir Ahmed Chen, Jun Min, Rui |
author_facet | Lakho, Rafique Ahmed Abro, Zamir Ahmed Chen, Jun Min, Rui |
author_sort | Lakho, Rafique Ahmed |
collection | PubMed |
description | This study aims to fabricate smart insoles using wireless Flexi force and bend sensing technology. Polyvinyl chloride (PVC) film was chosen as the substrate to hold all the sensors. The developed smart insole has a three-layer structure (insole-PVC layer-fabric layer) and is calibrated in an isolation laboratory to evaluate its measurement performance. One male volunteer subject exhibited four different body postures, namely tree pose, forward-leaning, squatting, and forward folding pose. Changes in pressure distribution were considered to be similar for the forward, squat, and forward-folded positions. When subjects performed a full squat, the flex sensor exhibited maximum flexion during the squat position, and the flex sensor response against the squat pose was found to be higher by about 18.18% than in the forward lean, respectively. The tree pose has the highest error rate at the first metatarsal, about 18.6%, of which the maximum absolute relative error of the sensor is less than 5%. Plantar pressure distribution and body posture measurements were successfully validated using Flexi force and flex sensors embedded in the smart insole. The smart insole proposed in this research work has broader prospects for clinical application. |
format | Online Article Text |
id | pubmed-9331244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93312442022-07-29 Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures Lakho, Rafique Ahmed Abro, Zamir Ahmed Chen, Jun Min, Rui Sensors (Basel) Article This study aims to fabricate smart insoles using wireless Flexi force and bend sensing technology. Polyvinyl chloride (PVC) film was chosen as the substrate to hold all the sensors. The developed smart insole has a three-layer structure (insole-PVC layer-fabric layer) and is calibrated in an isolation laboratory to evaluate its measurement performance. One male volunteer subject exhibited four different body postures, namely tree pose, forward-leaning, squatting, and forward folding pose. Changes in pressure distribution were considered to be similar for the forward, squat, and forward-folded positions. When subjects performed a full squat, the flex sensor exhibited maximum flexion during the squat position, and the flex sensor response against the squat pose was found to be higher by about 18.18% than in the forward lean, respectively. The tree pose has the highest error rate at the first metatarsal, about 18.6%, of which the maximum absolute relative error of the sensor is less than 5%. Plantar pressure distribution and body posture measurements were successfully validated using Flexi force and flex sensors embedded in the smart insole. The smart insole proposed in this research work has broader prospects for clinical application. MDPI 2022-07-22 /pmc/articles/PMC9331244/ /pubmed/35897973 http://dx.doi.org/10.3390/s22155469 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 Lakho, Rafique Ahmed Abro, Zamir Ahmed Chen, Jun Min, Rui Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title | Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title_full | Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title_fullStr | Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title_full_unstemmed | Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title_short | Smart Insole Based on Flexi Force and Flex Sensor for Monitoring Different Body Postures |
title_sort | smart insole based on flexi force and flex sensor for monitoring different body postures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331244/ https://www.ncbi.nlm.nih.gov/pubmed/35897973 http://dx.doi.org/10.3390/s22155469 |
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