Recognition, classification, and prediction of the tactile sense

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WEB OF SCIENCE

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32

초록

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.

키워드

SURFACES
제목
Recognition, classification, and prediction of the tactile sense
저자
Chun, SungwooHwang, InyoungSon, WonkyeongChang, Joon HyukPark, Wan jun
DOI
10.1039/c8nr00595h
발행일
2018-06
유형
Article
저널명
Nanoscale
10
22
페이지
10545 ~ 10553