Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network

Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network

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 s...

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Bibliographic Details
Main Authors: Ronghui Wu, Sangjin Seo, Liyun Ma, Juyeol Bae, Taesung Kim
Format: Article
Language:English
Published: SpringerOpen 2022-07-01
Series:Nano-Micro Letters
Subjects:
Negative Poisson’s ratio yarns
Interlaced yarn sensors
Smart glove
Deep learning
Sign-language translation
Online Access:https://doi.org/10.1007/s40820-022-00887-5

Internet

https://doi.org/10.1007/s40820-022-00887-5

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