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Identification of Object Dynamics Using Hand Worn Motion and Force Sensors
Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190986/ https://www.ncbi.nlm.nih.gov/pubmed/27898040 http://dx.doi.org/10.3390/s16122005 |
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author | Kortier, Henk G. Schepers, H. Martin Veltink, Peter H. |
author_facet | Kortier, Henk G. Schepers, H. Martin Veltink, Peter H. |
author_sort | Kortier, Henk G. |
collection | PubMed |
description | Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: [Formula: see text] and 0.28 kg: [Formula: see text]) and the spring constant of a physical spring object ([Formula: see text]). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports. |
format | Online Article Text |
id | pubmed-5190986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-51909862017-01-03 Identification of Object Dynamics Using Hand Worn Motion and Force Sensors Kortier, Henk G. Schepers, H. Martin Veltink, Peter H. Sensors (Basel) Article Emerging microelectromechanical system (MEMS)-based sensors become much more applicable for on-body measurement purposes lately. Especially, the development of a finger tip-sized tri-axial force sensor gives the opportunity to measure interaction forces between the human hand and environmental objects. We have developed a new prototype device that allows simultaneous 3D force and movement measurements at the finger and thumb tips. The combination of interaction forces and movements makes it possible to identify the dynamical characteristics of the object being handled by the hand. With this device attached to the hand, a subject manipulated mass and spring objects under varying conditions. We were able to identify and estimate the weight of two physical mass objects (0.44 kg: [Formula: see text] and 0.28 kg: [Formula: see text]) and the spring constant of a physical spring object ([Formula: see text]). The system is a first attempt to quantify the interactions of the hand with the environment and has many potential applications in rehabilitation, ergonomics and sports. MDPI 2016-11-26 /pmc/articles/PMC5190986/ /pubmed/27898040 http://dx.doi.org/10.3390/s16122005 Text en © 2016 by the authors; 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kortier, Henk G. Schepers, H. Martin Veltink, Peter H. Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title | Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title_full | Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title_fullStr | Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title_full_unstemmed | Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title_short | Identification of Object Dynamics Using Hand Worn Motion and Force Sensors |
title_sort | identification of object dynamics using hand worn motion and force sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5190986/ https://www.ncbi.nlm.nih.gov/pubmed/27898040 http://dx.doi.org/10.3390/s16122005 |
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