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

Yarn sensors have shown promis-ing application prospects in wearable electronics owing to their shape adaptability,good flexibility,and weavability.However,it is still a critical chal-lenge to develop simultaneously structure stable,fast response,body conformal,mechanical robust yarn sensor using full microfibers in an indus-trial-scalable manner.Herein,a full-fiber auxe-tic-interlaced yarn sensor(AIYS)with negative Poisson's ratio is designed and fabricated using a continuous,mass-producible,structure-program-mable,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.Further-more,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.