Fingerprint-enhanced capacitive-piezoelectric flexible sensing skin to discriminate static and dynamic tactile stimuli

Dahiya, R. and Navaraj, W. T. (2019) Fingerprint-enhanced capacitive-piezoelectric flexible sensing skin to discriminate static and dynamic tactile stimuli. Advanced Intelligent Systems, 1900051. (doi:10.1002/aisy.201900051) (Early Online Publication)

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Abstract

nspired by the structure and functions of the human skin, a highly sensitive capacitive‐piezoelectric flexible sensing skin with fingerprint‐like patterns to detect and discriminate between spatiotemporal tactile stimuli including static and dynamic pressures and textures is presented. The capacitive‐piezoelectric tandem sensing structure is embedded in the phalange of a 3D‐printed robotic hand, and a tempotron classifier system is used for tactile exploration. The dynamic tactile sensor, interfaced with an extended gate configuration to a common source metal oxide semiconductor field effect transistor (MOSFET), exhibits a sensitivity of 2.28 kPa−1. The capacitive sensing structure has nonlinear characteristics with sensitivity varying from 0.25 kPa−1 in the low‐pressure range (<100 Pa) to 0.002 kPa−1 in high pressure (≈2.5 kPa). The output from the presented sensor under a closed‐loop tactile scan, carried out with an industrial robotic arm, is used as latency‐coded spike trains in a spiking neural network (SNN) tempotron classifier system. With the capability of performing a real‐time binary naturalistic texture classification with a maximum accuracy of 99.45%, the presented bioinspired skin finds applications in robotics, prosthesis, wearable sensors, and medical devices.

Item Type:Articles
Status:Early Online Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Dahiya, Professor Ravinder and Navaraj, Mr William
Authors: Dahiya, R., and Navaraj, W. T.
College/School:College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
Journal Name:Advanced Intelligent Systems
Publisher:Wiley
ISSN:2640-4567
ISSN (Online):2640-4567
Published Online:20 September 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Advanced Intelligent Systems 2019:1900051
Publisher Policy:Reproduced under a Creative Commons license

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
663861Engineering Fellowships for Growth: Printed Tactile SKINRavinder DahiyaEngineering and Physical Sciences Research Council (EPSRC)EP/M002527/1ENG - ENGINEERING ELECTRONICS & NANO ENG
3017280Engineering Fellowships for Growth: Printed Tactile SKINRavinder DahiyaEngineering and Physical Sciences Research Council (EPSRC)EP/R029644/1ENG - Electronics & Nanoscale Engineering