Recognition, classification, and prediction of the tactile senseElectronic supplementary information (ESI) available. See DOI: 10.1039/c8nr00595h

Recognition, classification, and prediction of the tactile senseElectronic supplementary... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Nanoscale Royal Society of Chemistry

Recognition, classification, and prediction of the tactile senseElectronic supplementary information (ESI) available. See DOI: 10.1039/c8nr00595h

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Publisher
The Royal Society of Chemistry
Copyright
This journal is © The Royal Society of Chemistry
ISSN
2040-3364
D.O.I.
10.1039/c8nr00595h
Publisher site
See Article on Publisher Site

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.

Journal

NanoscaleRoyal Society of Chemistry

Published: May 29, 2018

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