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Full‑Fiber Auxetic‑Interlaced Yarn sensor for sign‑Language Translation Glove Assisted by Artificial Neural Network

Nano-Micro Letters 2022年第8期14卷 269-282页

作者： Ronghui Wu sangjin seo Liyun Ma Juyeol Bae Taesung Kim Department of Mechanical Engineering Ulsan National Institute of Science and Technology(UNIST)50 UNIST‑GilUlsan 44919Republic of Korea College of Physical science and Technology Xiamen UniversityXiamen 361005People’s Republic of China

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 c N/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.

关键词： negative poisson’s ratio yarns Interlaced yarn sensors smart glove Deep learning sign-language translation

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