ArticleNano-micro letters2022
Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network.
Article in Nano-micro letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 78 citations in OpenAlex.
- A Comprehensive Review of SLR Systems: Challenges, Datasets, and Unresolved Gaps.Journal of imaging · 2026Review
- Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI-Enabled Smart Textiles.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Textile emitter for AI-enhanced human-machine interaction.National science review · 2026Article
- An AI-driven, wearable, conformal ring system for real-time and user-independent sign language interpretation.Science advances · 2026Article
- Semi-auxetic piezoresistive textronic.Scientific reports · 2025Article
- Innervate Commercial Fabrics with Spirally-Layered Iontronic Fibrous Sensors Toward Dual-Functional Smart Garments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Advanced Design of Soft Robots with Artificial Intelligence.Nano-micro letters · 2024Review
- AI-Based Metamaterial Design.ACS applied materials & interfaces · 2024Review
- Recent Advances in In-Memory Computing: Exploring Memristor and Memtransistor Arrays with 2D Materials.Nano-micro letters · 2024Review
- MXene Lubricated Tribovoltaic Nanogenerator with High Current Output and Long Lifetime.Nano-micro letters · 2023Article
- Sensors Based on Auxetic Materials and Structures: A Review.Materials (Basel, Switzerland) · 2023Review
- Bioinspired All-Fibrous Directional Moisture-Wicking Electronic Skins for Biomechanical Energy Harvesting and All-Range Health Sensing.Nano-micro letters · 2023Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.