Recent Advances in Smart Tactile Sensory Systems with Brain-Inspired Neural Networks
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Junho | - |
dc.contributor.author | Kwak, Jee Young | - |
dc.contributor.author | Keum, Kyobin | - |
dc.contributor.author | Sik Kim, Kang | - |
dc.contributor.author | Kim, Insoo | - |
dc.contributor.author | Lee, Myung-Jae | - |
dc.contributor.author | Kim, Yong-Hoon | - |
dc.contributor.author | Park, Sung Kyu | - |
dc.date.accessioned | 2024-03-04T06:00:31Z | - |
dc.date.available | 2024-03-04T06:00:31Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 2640-4567 | - |
dc.identifier.issn | 2640-4567 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/72645 | - |
dc.description.abstract | Tactile sensory systems play a vital role in various emerging fields including robotics, prosthetics, and human–machine interfaces. However, traditional tactile sensors are typically designed to detect a single stimulus through a lock-and-key mechanism, which poses substantial challenges in the realization of multimodal tactile sensors. To address this issue, the convergence of tactile sensory systems with artificial neural network and machine learning (ML) platforms has been utilized to enhance the capabilities of multimodal sensors and enable signal decoupling/interpretation of mixed tactile stimuli. Herein, recent progress in multimodal sensors that can simultaneously identify various stimuli such as strain, pressure, and temperature is reviewed, providing in-depth understanding of materials, structures, and methodologies. In addition, accurate interpretation of signals from mixed tactile stimuli under complex conditions remains challenging. This review presents a comprehensive exploration of ML algorithms that mimic human neural networks, discussing their significance in advancing smart sensory systems and improving signal interpretation in complex and dynamic environments. © 2024 The Authors. Advanced Intelligent Systems published by Wiley-VCH GmbH. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | John Wiley and Sons Inc | - |
dc.title | Recent Advances in Smart Tactile Sensory Systems with Brain-Inspired Neural Networks | - |
dc.type | Article | - |
dc.identifier.doi | 10.1002/aisy.202300631 | - |
dc.identifier.bibliographicCitation | Advanced Intelligent Systems, v.6, no.4 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 001144203600001 | - |
dc.identifier.scopusid | 2-s2.0-85182427861 | - |
dc.citation.number | 4 | - |
dc.citation.title | Advanced Intelligent Systems | - |
dc.citation.volume | 6 | - |
dc.type.docType | Article | - |
dc.publisher.location | 미국 | - |
dc.subject.keywordAuthor | machine learning | - |
dc.subject.keywordAuthor | neural networks | - |
dc.subject.keywordAuthor | smart sensor | - |
dc.subject.keywordAuthor | stretchable sensor | - |
dc.subject.keywordAuthor | tactile sensors | - |
dc.subject.keywordPlus | WEARABLE STRAIN SENSOR | - |
dc.subject.keywordPlus | SELF-POWERED PRESSURE | - |
dc.subject.keywordPlus | STRETCHABLE ELECTRONIC SKIN | - |
dc.subject.keywordPlus | HUMAN-MOTION | - |
dc.subject.keywordPlus | TEMPERATURE-SENSOR | - |
dc.subject.keywordPlus | COMPOSITE HYDROGELS | - |
dc.subject.keywordPlus | CARBON NANOTUBES | - |
dc.subject.keywordPlus | HIGH-SENSITIVITY | - |
dc.subject.keywordPlus | TRANSPARENT | - |
dc.subject.keywordPlus | ARRAY | - |
dc.relation.journalResearchArea | Automation & Control Systems | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
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.