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Recognition, classification, and prediction of the tactile sense

Title
Recognition, classification, and prediction of the tactile sense
Author
박완준
Keywords
SURFACES
Issue Date
2018-06
Publisher
ROYAL SOC CHEMISTRY
Citation
NANOSCALE, v. 10, no. 22, page. 10545-10553
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.
URI
https://pubs.rsc.org/en/content/articlelanding/2018/NR/C8NR00595H#!divAbstracthttps://repository.hanyang.ac.kr/handle/20.500.11754/119090
ISSN
2040-3364; 2040-3372
DOI
10.1039/c8nr00595h
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > ELECTRONIC ENGINEERING(융합전자공학부) > Articles
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