A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment

A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validatio...

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Autores principales: Cazacu, Eduard, van der Grinten, Coen, Bax, Jeroen, Baeten, Guus, Holtkamp, Fred, Lee, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512426/
https://www.ncbi.nlm.nih.gov/pubmed/34640952
http://dx.doi.org/10.3390/s21196631
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author Cazacu, Eduard
van der Grinten, Coen
Bax, Jeroen
Baeten, Guus
Holtkamp, Fred
Lee, Chris
author_facet Cazacu, Eduard
van der Grinten, Coen
Bax, Jeroen
Baeten, Guus
Holtkamp, Fred
Lee, Chris
author_sort Cazacu, Eduard
collection PubMed
description A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against motion artifacts, having a mean accuracy of 2.9 mm (compared to a 3D model generated from optical imaging) without calibration.
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spelling pubmed-85124262021-10-14 A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment Cazacu, Eduard van der Grinten, Coen Bax, Jeroen Baeten, Guus Holtkamp, Fred Lee, Chris Sensors (Basel) Communication A position sensing glove called SmartScan, which creates a 3D virtual model of a real object, is presented. The data from the glove is processed by a volume minimization algorithm to validate the position sensor data. This allows only data from the object’s surface to be retained. The data validation algorithm allows the user to progressively improve an image by repeatedly moving their hand over the object. In addition, the user can choose their own balance between feature resolution and invalid data rejection. The SmartScan glove is tested on a foot model and is shown to be robust against motion artifacts, having a mean accuracy of 2.9 mm (compared to a 3D model generated from optical imaging) without calibration. MDPI 2021-10-06 /pmc/articles/PMC8512426/ /pubmed/34640952 http://dx.doi.org/10.3390/s21196631 Text en © 2021 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 Communication
Cazacu, Eduard
van der Grinten, Coen
Bax, Jeroen
Baeten, Guus
Holtkamp, Fred
Lee, Chris
A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title_full A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title_fullStr A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title_full_unstemmed A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title_short A Position Sensing Glove to Aid Ankle-Foot Orthosis Diagnosis and Treatment
title_sort position sensing glove to aid ankle-foot orthosis diagnosis and treatment
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8512426/
https://www.ncbi.nlm.nih.gov/pubmed/34640952
http://dx.doi.org/10.3390/s21196631
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