Next Article in Journal
An Efficient Incremental Mining Algorithm for Discovering Sequential Pattern in Wireless Sensor Network Environments
Next Article in Special Issue
Design and Development of a Low-Cost Wearable Glove to Track Forces Exerted by Workers in Car Assembly Lines
Previous Article in Journal
Effective Construction of a High-Capacity Boronic Acid Layer on a Quartz Crystal Microbalance Chip for High-Density Antibody Immobilization
Previous Article in Special Issue
A Flexible Tactile Sensor with Irregular Planar Shape Based on Uniform Electric Field
Article Menu
Issue 1 (January-1) cover image

Export Article

Open AccessArticle

A Piezoresistive Tactile Sensor for a Large Area Employing Neural Network

School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(1), 27; https://doi.org/10.3390/s19010027
Received: 6 November 2018 / Revised: 15 December 2018 / Accepted: 17 December 2018 / Published: 21 December 2018
(This article belongs to the Special Issue Smart Textiles and Wearable Sensors)
  |  
PDF [7002 KB, uploaded 21 December 2018]
  |  

Abstract

Electronic skin is an important means through which robots can obtain external information. A novel flexible tactile sensor capable of simultaneously detecting the contact position and force was proposed in this paper. The tactile sensor had a three-layer structure. The upper layer was a specially designed conductive film based on indium-tin oxide polyethylene terephthalate (ITO-PET), which could be used for detecting contact position. The intermediate layer was a piezoresistive film used as the force-sensitive element. The lower layer was made of fully conductive material such as aluminum foil and was used only for signal output. In order to solve the inconsistencies and nonlinearity of the piezoresistive properties for large areas, a Radial Basis Function (RBF) neural network was used. This includes input, hidden, and output layers. The input layer has three nodes representing position coordinates, X, Y, and resistor, R. The output layer has one node representing force, F. A sensor sample was fabricated and experiments of contact position and force detection were performed on the sample. The results showed that the principal function of the tactile sensor was feasible. The sensor sample exhibited good consistency and linearity. The tactile sensor has only five lead wires and can provide the information support necessary for safe human—computer interactions. View Full-Text
Keywords: electronic skin; contact position detection; contact force detection; RBF neural network electronic skin; contact position detection; contact force detection; RBF neural network
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, Y.; Ye, J.; Lin, Z.; Huang, S.; Wang, H.; Wu, H. A Piezoresistive Tactile Sensor for a Large Area Employing Neural Network. Sensors 2019, 19, 27.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top