2014
DOI: 10.1109/jsen.2013.2295296
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Effects of the Artificial Skin's Thickness on the Subsurface Pressure Profiles of Flat, Curved, and Braille Surfaces

Abstract: The primary interface of contact between a robotic or prosthetic hand and the external world is through the artificial skin. To make sense of that contact, tactile sensors are needed. These sensors are normally embedded in soft synthetic materials for protecting the subsurface sensor from damage or for better hand-to-object contact. It is important to understand how the mechanical signals transmit from the artificial skin to the embedded tactile sensors. In this paper, we made use of a finite element model of … Show more

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Cited by 20 publications
(8 citation statements)
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“…Pressure was used as the input parameter to the computational model since it well describes the transduction of tactile sensors (Cabibihan et al, 2014 ). We extracted pressure estimates from elements of the same depth within the sensing region and mapped them to an exponential scale.…”
Section: Methodsmentioning
confidence: 99%
“…Pressure was used as the input parameter to the computational model since it well describes the transduction of tactile sensors (Cabibihan et al, 2014 ). We extracted pressure estimates from elements of the same depth within the sensing region and mapped them to an exponential scale.…”
Section: Methodsmentioning
confidence: 99%
“…This numerical method approximates the system solution under the given initial and boundary conditions (Biddis et al, 2004 ; Mollica and Ambrosio, 2009 ). The FE method was earlier used in the analysis of prosthetic fingers and structures (Cabibihan et al, 2006a , b , 2014 ). In the current work, the locations with potentially high stress concentration were predicted to be at the distal finger phalange, proximal finger phalange, and at the pin.…”
Section: Methodsmentioning
confidence: 99%
“…Finite Element Analysis has been an effective tool for analyzing contact interactions between artificial fingers and various objects [6], [7], [8], [9], [10], [11], [12]. For this data set, the index finger of the low-cost 3D printed prosthetic hand was subjected to numerical failure analysis using LS-DYNA software (mmps R8.1.1, Livermore Software Technology Corporation (LSTC), USA) [13].…”
Section: Datamentioning
confidence: 99%