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연구성과 > 금주의 우수논문

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SCI Article

Recognition, classification, and prediction of the tactile sense
성명 박완준()
소속 공과대학 융합전자공학부
캠퍼스
우수선정주 2018년 08월 2째주
Author Chun, Sungwoo (Dept Elect & Comp Engn); Hwang, Inyoung (Dept Elect & Comp Engn); Son, Wonkyeong (Dept Elect & Comp Engn); 장준혁 (Dept Elect & Comp Engn); 박완준 (Dept Elect & Comp Engn);
Corresponding Author Info Park, W (reprint author), Hanyang Univ, Dept Elect & Comp Engn, Seoul 04763, South Korea.
E-mail 이메일 아이콘wanjun@hanyang.ac.kr
Document Type Article
Source NANOSCALE Volume:10 Issue:22 Pages:10545-10553 Published:2018
Times Cited 0
External Information http://dx.doi.org/10.1039/c8nr00595h
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.
Web of Science Categories Chemistry, Multidisciplinary; Nanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied
Funding National Research Foundation of Korea [2016M3A7B4910400]
Language English
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