Recognition, classification, and prediction of the tactile sense
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chun, Sungwoo | - |
dc.contributor.author | Hwang, Inyoung | - |
dc.contributor.author | Son, Wonkyeong | - |
dc.contributor.author | Chang, Joon Hyuk | - |
dc.contributor.author | Park, Wan jun | - |
dc.date.accessioned | 2021-08-02T13:28:27Z | - |
dc.date.available | 2021-08-02T13:28:27Z | - |
dc.date.created | 2021-05-12 | - |
dc.date.issued | 2018-06 | - |
dc.identifier.issn | 2040-3364 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/16910 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | ROYAL SOC CHEMISTRY | - |
dc.title | Recognition, classification, and prediction of the tactile sense | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chang, Joon Hyuk | - |
dc.contributor.affiliatedAuthor | Park, Wan jun | - |
dc.identifier.doi | 10.1039/c8nr00595h | - |
dc.identifier.scopusid | 2-s2.0-85048270950 | - |
dc.identifier.wosid | 000434692000029 | - |
dc.identifier.bibliographicCitation | NANOSCALE, v.10, no.22, pp.10545 - 10553 | - |
dc.relation.isPartOf | NANOSCALE | - |
dc.citation.title | NANOSCALE | - |
dc.citation.volume | 10 | - |
dc.citation.number | 22 | - |
dc.citation.startPage | 10545 | - |
dc.citation.endPage | 10553 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Nanoscience & Nanotechnology | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.subject.keywordPlus | SURFACES | - |
dc.identifier.url | https://pubs.rsc.org/en/content/articlelanding/2018/NR/C8NR00595H | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.