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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2022-07-01
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| Series: | Nano-Micro Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40820-022-00887-5 |
| _version_ | 1818488477754327040 |
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| author | Ronghui Wu Sangjin Seo Liyun Ma Juyeol Bae Taesung Kim |
| author_facet | Ronghui Wu Sangjin Seo Liyun Ma Juyeol Bae Taesung Kim |
| author_sort | Ronghui Wu |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-10T16:51:31Z |
| format | Article |
| id | doaj.art-9dbe141808734dd5b45054a540cdcc53 |
| institution | Directory Open Access Journal |
| issn | 2311-6706 2150-5551 |
| language | English |
| last_indexed | 2024-12-10T16:51:31Z |
| publishDate | 2022-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Nano-Micro Letters |
| spelling | doaj.art-9dbe141808734dd5b45054a540cdcc532022-12-22T01:40:52ZengSpringerOpenNano-Micro Letters2311-67062150-55512022-07-0114111410.1007/s40820-022-00887-5Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural NetworkRonghui Wu0Sangjin Seo1Liyun Ma2Juyeol Bae3Taesung Kim4Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST)Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST)College of Physical Science and Technology, Xiamen UniversityDepartment of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST)Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST)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.https://doi.org/10.1007/s40820-022-00887-5Negative Poisson’s ratio yarnsInterlaced yarn sensorsSmart gloveDeep learningSign-language translation |
| spellingShingle | Ronghui Wu Sangjin Seo Liyun Ma Juyeol Bae Taesung Kim Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network Nano-Micro Letters Negative Poisson’s ratio yarns Interlaced yarn sensors Smart glove Deep learning Sign-language translation |
| title | Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network |
| title_full | Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network |
| title_fullStr | Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network |
| title_full_unstemmed | Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network |
| title_short | Full-Fiber Auxetic-Interlaced Yarn Sensor for Sign-Language Translation Glove Assisted by Artificial Neural Network |
| title_sort | full fiber auxetic interlaced yarn sensor for sign language translation glove assisted by artificial neural network |
| topic | Negative Poisson’s ratio yarns Interlaced yarn sensors Smart glove Deep learning Sign-language translation |
| url | https://doi.org/10.1007/s40820-022-00887-5 |
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