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Fingerpad-Inspired Multimodal Electronic Skin for Material Discrimination and Texture Recognition

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Abstract
Human skin plays a critical role in a person communicating with his or her environment through diverse activities such as touching or deforming an object. Various electronic skin (E-skin) devices have been developed that show functional or geometrical superiority to human skin. However, research into stretchable E-skin that can simultaneously distinguish materials and textures has not been established yet. Here, the first approach to achieving a stretchable multimodal device is reported, that operates on the basis of various electrical properties of piezoelectricity, triboelectricity, and piezoresistivity and that exceeds the capabilities of human tactile perception. The prepared E-skin is composed of a wrinkle-patterned silicon elastomer, hybrid nanomaterials of silver nanowires and zinc oxide nanowires, and a thin elastomeric dielectric layer covering the hybrid nanomaterials, where the dielectric layer exhibits high surface roughness mimicking human fingerprints. This versatile device can identify and distinguish not only mechanical stress from a single stimulus such as pressure, tensile strain, or vibration but also that from a combination of multiple stimuli. With simultaneous sensing and analysis of the integrated stimuli, the approach enables material discrimination and texture recognition for a biomimetic prosthesis when the multifunctional E-skin is applied to a robotic hand.
Author(s)
이기원손종현이시영김성원김대건Nguyen Ngan Nguyen이승구조길원
Issued Date
2021
Type
Article
Keyword
E-skinstretchablemultimodalmaterial discriminationtexture recognition
DOI
10.1002/advs.202002606
URI
https://oak.ulsan.ac.kr/handle/2021.oak/9643
https://ulsan-primo.hosted.exlibrisgroup.com/primo-explore/fulldisplay?docid=TN_cdi_doaj_primary_oai_doaj_org_article_4ee1a9552f6e41b88c99c6ffd16be3e4&context=PC&vid=ULSAN&lang=ko_KR&search_scope=default_scope&adaptor=primo_central_multiple_fe&tab=default_tab&query=any,contains,Fingerpad-Inspired%20Multimodal%20Electronic%20Skin%20for%20Material%20Discrimination%20and%20Texture%20Recognition&offset=0&pcAvailability=true
Publisher
Advanced Science
Location
미국
Language
영어
ISSN
2198-3844
Citation Volume
8
Citation Number
9
Citation Start Page
2002606
Citation End Page
2002606
Appears in Collections:
Natural Science > Chemistry
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