Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis

The analysis of the human grasping and manipulation capabilities is paramount for investigating human sensory-motor control and developing prosthetic and robotic hands resembling the human ones. A viable solution to perform this analysis is to develop instrumented objects measuring the interaction f...
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Gespeichert in:

Autor*in:	Paola Pessia [verfasserIn] Francesca Cordella [verfasserIn] Emiliano Schena [verfasserIn] Angelo Davalli [verfasserIn] Rinaldo Sacchetti [verfasserIn] Loredana Zollo [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	capacitive pressure sensor sensor characterization grasping and manipulation analysis

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 17(2017), 12, p 2846
Übergeordnetes Werk:	volume:17 ; year:2017 ; number:12, p 2846

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/s17122846

Katalog-ID:	DOAJ025206680

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authorswithroles_txt_mv	Paola Pessia @@aut@@ Francesca Cordella @@aut@@ Emiliano Schena @@aut@@ Angelo Davalli @@aut@@ Rinaldo Sacchetti @@aut@@ Loredana Zollo @@aut@@
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callnumber-first	T - Technology
author	Paola Pessia
spellingShingle	Paola Pessia misc TP1-1185 misc capacitive pressure sensor misc sensor characterization misc grasping and manipulation analysis misc Chemical technology Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis
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topic_title	TP1-1185 Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis capacitive pressure sensor sensor characterization grasping and manipulation analysis
topic	misc TP1-1185 misc capacitive pressure sensor misc sensor characterization misc grasping and manipulation analysis misc Chemical technology
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title	Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis
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title_sort	evaluation of pressure capacitive sensors for application in grasping and manipulation analysis
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title_auth	Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis
abstract	The analysis of the human grasping and manipulation capabilities is paramount for investigating human sensory-motor control and developing prosthetic and robotic hands resembling the human ones. A viable solution to perform this analysis is to develop instrumented objects measuring the interaction forces with the hand. In this context, the performance of the sensors embedded in the objects is crucial. This paper focuses on the experimental characterization of a class of capacitive pressure sensors suitable for biomechanical analysis. The analysis was performed in three loading conditions (Distributed load, 9 Tips load, and Wave-shaped load, thanks to three different inter-elements) via a traction/compression testing machine. Sensor assessment was also carried out under human- like grasping condition by placing a silicon material with the same properties of prosthetic cosmetic gloves in between the sensor and the inter-element in order to simulate the human skin. Data show that the input–output relationship of the analyzed, sensor is strongly influenced by both the loading condition (i.e., type of inter-element) and the grasping condition (with or without the silicon material). This needs to be taken into account to avoid significant measurement error. To go over this hurdle, the sensors have to be calibrated under each specific condition in order to apply suitable corrections to the sensor output and significantly improve the measurement accuracy.
abstractGer	The analysis of the human grasping and manipulation capabilities is paramount for investigating human sensory-motor control and developing prosthetic and robotic hands resembling the human ones. A viable solution to perform this analysis is to develop instrumented objects measuring the interaction forces with the hand. In this context, the performance of the sensors embedded in the objects is crucial. This paper focuses on the experimental characterization of a class of capacitive pressure sensors suitable for biomechanical analysis. The analysis was performed in three loading conditions (Distributed load, 9 Tips load, and Wave-shaped load, thanks to three different inter-elements) via a traction/compression testing machine. Sensor assessment was also carried out under human- like grasping condition by placing a silicon material with the same properties of prosthetic cosmetic gloves in between the sensor and the inter-element in order to simulate the human skin. Data show that the input–output relationship of the analyzed, sensor is strongly influenced by both the loading condition (i.e., type of inter-element) and the grasping condition (with or without the silicon material). This needs to be taken into account to avoid significant measurement error. To go over this hurdle, the sensors have to be calibrated under each specific condition in order to apply suitable corrections to the sensor output and significantly improve the measurement accuracy.
abstract_unstemmed	The analysis of the human grasping and manipulation capabilities is paramount for investigating human sensory-motor control and developing prosthetic and robotic hands resembling the human ones. A viable solution to perform this analysis is to develop instrumented objects measuring the interaction forces with the hand. In this context, the performance of the sensors embedded in the objects is crucial. This paper focuses on the experimental characterization of a class of capacitive pressure sensors suitable for biomechanical analysis. The analysis was performed in three loading conditions (Distributed load, 9 Tips load, and Wave-shaped load, thanks to three different inter-elements) via a traction/compression testing machine. Sensor assessment was also carried out under human- like grasping condition by placing a silicon material with the same properties of prosthetic cosmetic gloves in between the sensor and the inter-element in order to simulate the human skin. Data show that the input–output relationship of the analyzed, sensor is strongly influenced by both the loading condition (i.e., type of inter-element) and the grasping condition (with or without the silicon material). This needs to be taken into account to avoid significant measurement error. To go over this hurdle, the sensors have to be calibrated under each specific condition in order to apply suitable corrections to the sensor output and significantly improve the measurement accuracy.
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title_short	Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis
url	https://doi.org/10.3390/s17122846 https://doaj.org/article/5b7adce1c49e43eea01ebfe8c7c7e5bb https://www.mdpi.com/1424-8220/17/12/2846 https://doaj.org/toc/1424-8220
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up_date	2024-07-03T13:38:02.347Z
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Evaluation of Pressure Capacitive Sensors for Application in Grasping and Manipulation Analysis

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