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

Navaraj, W. ORCID: 0000-0003-4753-2015 and Dahiya, R., 2019. Fingerprint‐enhanced capacitive‐piezoelectric flexible sensing skin to discriminate static and dynamic tactile stimuli. Advanced Intelligent Systems, 1 (7): 1900051. ISSN 2640-4567

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Abstract

Inspired 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: Journal article
Publication Title: Advanced Intelligent Systems
Creators: Navaraj, W. and Dahiya, R.
Publisher: Wiley
Date: November 2019
Volume: 1
Number: 7
ISSN: 2640-4567
Identifiers:
NumberType
10.1002/aisy.201900051DOI
1243699Other
Rights: © 2019 the authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Divisions: Schools > School of Science and Technology
Record created by: Linda Sullivan
Date Added: 13 Jan 2020 14:05
Last Modified: 12 Feb 2020 13:42
URI: http://irep.ntu.ac.uk/id/eprint/38960

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