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Kim, Taesung
Microfluidics & Nanomechatronics Lab.
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dc.citation.number 1 -
dc.citation.startPage 139 -
dc.citation.title NANO-MICRO LETTERS -
dc.citation.volume 14 - Wu, Ronghui - Seo, Sangjin - Ma, Liyun - Bae, Juyeol - Kim, Taesung - 2023-12-21T13:16:53Z - 2023-12-21T13:16:53Z - 2022-07-19 - 2022-12 -
dc.description.abstract Yarn sensors have shown promising application prospects in wearable electronics owing to their shape adaptability, good flexibility, and weavability. However, it is still a critical challenge to develop simultaneously structure stable, fast response, body conformal, mechanical robust yarn sensor using full microfibers in an industrial-scalable manner. Herein, a full-fiber auxetic-interlaced yarn sensor (AIYS) with negative Poisson's ratio is designed and fabricated using a continuous, mass-producible, structure-programmable, and low-cost spinning technology. Based on the unique microfiber interlaced architecture, AIYS simultaneously achieves a Poisson's ratio of-1.5, a robust mechanical property (0.6 cN/dtex), and a fast train-resistance responsiveness (0.025 s), which enhances conformality with the human body and quickly transduce human joint bending and/or stretching into electrical signals. Moreover, AIYS shows good flexibility, washability, weavability, and high repeatability. Furtherly, with the AIYS array, an ultrafast full-letter sign-language translation glove is developed using artificial neural network. The sign-language translation glove achieves an accuracy of 99.8% for all letters of the English alphabet within a short time of 0.25 s. Furthermore, owing to excellent full letter-recognition ability, real-time translation of daily dialogues and complex sentences is also demonstrated. The smart glove exhibits a remarkable potential in eliminating the communication barriers between signers and non-signers. -
dc.identifier.bibliographicCitation NANO-MICRO LETTERS, v.14, no.1, pp.139 -
dc.identifier.doi 10.1007/s40820-022-00887-5 -
dc.identifier.issn 2311-6706 -
dc.identifier.scopusid 2-s2.0-85133243459 -
dc.identifier.uri -
dc.identifier.wosid 000819802100001 -
dc.language 영어 -
dc.title Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Nanoscience & Nanotechnology; Materials Science, Multidisciplinary; Physics, Applied -
dc.relation.journalResearchArea Science & Technology - Other Topics; Materials Science; Physics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Negative Poisson&apos -
dc.subject.keywordAuthor s ratio yarns -
dc.subject.keywordAuthor Interlaced yarn sensors -
dc.subject.keywordAuthor Smart glove -
dc.subject.keywordAuthor Deep learning -
dc.subject.keywordAuthor Sign-language translation -
dc.subject.keywordPlus STRAIN SENSOR -


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