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Issue 22, 2018
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Recognition, classification, and prediction of the tactile sense

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Abstract

The emulation of the tactile sense is presented with the encoding of a complex surface texture through an electrical sensor device. To achieve a functional capability comparable to a human mechanoreceptor, a tactile sensor is designed by employing a naturally formed porous structure of a graphene film. The inherent tactile patterns are achievable by means of proper analysis of the electrical signals that the sensor provides during the event of touching the interacting objects. It is confirmed that the pattern-recognition method using machine learning is suitable for quantifying human tactile sensations. The classification accuracy of the tactile sensor system is better than that of human touch for the tested fabric samples, which have a delicate surface texture.

Graphical abstract: Recognition, classification, and prediction of the tactile sense

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Article information


Submitted
22 Jan 2018
Accepted
30 Apr 2018
First published
01 May 2018

Nanoscale, 2018,10, 10545-10553
Article type
Paper

Recognition, classification, and prediction of the tactile sense

S. Chun, I. Hwang, W. Son, J. Chang and W. Park, Nanoscale, 2018, 10, 10545
DOI: 10.1039/C8NR00595H

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