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Slip Detection Strategies for Automatic Grasping in Prosthetic Hands

The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Slip can be detected from the surface vibrations made...

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Autor principal: Kyberd, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181642/
https://www.ncbi.nlm.nih.gov/pubmed/37177637
http://dx.doi.org/10.3390/s23094433
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author Kyberd, Peter
author_facet Kyberd, Peter
author_sort Kyberd, Peter
collection PubMed
description The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Slip can be detected from the surface vibrations made as the contact between object and terminal device shifts. A second method measures the changes in the normal and tangential forces between the object and the digits. After a review of the principles of how the signals are generated and the detection technologies are employed, this paper details the acoustic and force sensors used in versions of the Southampton Hand. Attention is given to the techniques used in the field. The performance of the Southampton tube sensor is explored. Different surfaces are slid past a sensor and the signals analysed. The resulting signals have low-frequency content. The signals are low pass filtered and the resulting processing results in a consistent response across a range of surfaces. These techniques are fast and not computationally intensive, which makes them practical for a device that is to be used daily in the field.
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spelling pubmed-101816422023-05-13 Slip Detection Strategies for Automatic Grasping in Prosthetic Hands Kyberd, Peter Sensors (Basel) Article The detection of an object slipping within the grasp of a prosthetic hand enables the hand to react to ensure the grasp is stable. The computer controller of a prosthetic hand needs to be able to unambiguously detect the slide from other signals. Slip can be detected from the surface vibrations made as the contact between object and terminal device shifts. A second method measures the changes in the normal and tangential forces between the object and the digits. After a review of the principles of how the signals are generated and the detection technologies are employed, this paper details the acoustic and force sensors used in versions of the Southampton Hand. Attention is given to the techniques used in the field. The performance of the Southampton tube sensor is explored. Different surfaces are slid past a sensor and the signals analysed. The resulting signals have low-frequency content. The signals are low pass filtered and the resulting processing results in a consistent response across a range of surfaces. These techniques are fast and not computationally intensive, which makes them practical for a device that is to be used daily in the field. MDPI 2023-04-30 /pmc/articles/PMC10181642/ /pubmed/37177637 http://dx.doi.org/10.3390/s23094433 Text en © 2023 by the author. 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
Kyberd, Peter
Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title_full Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title_fullStr Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title_full_unstemmed Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title_short Slip Detection Strategies for Automatic Grasping in Prosthetic Hands
title_sort slip detection strategies for automatic grasping in prosthetic hands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181642/
https://www.ncbi.nlm.nih.gov/pubmed/37177637
http://dx.doi.org/10.3390/s23094433
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