Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kortier, Henk G., Schepers, H. Martin, Veltink, Peter H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
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
_version_ 1782487526327451648
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
work_keys_str_mv AT kortierhenkg identificationofobjectdynamicsusinghandwornmotionandforcesensors
AT schepershmartin identificationofobjectdynamicsusinghandwornmotionandforcesensors
AT veltinkpeterh identificationofobjectdynamicsusinghandwornmotionandforcesensors