Ultra-Robust and Sensitive Flexible Strain Sensor for Real-Time and Wearable Sign Language Translation
文献类型：期刊论文
| 作者 | Wu, Xuping1,2; Luo, Xuemei2; Song, Zhuman2; Bai, Yaoyao3; Zhang, Bin3; Zhang, Guangping2 |
| 刊名 | ADVANCED FUNCTIONAL MATERIALS
 |
| 出版日期 | 2023-05-14 |
| 页码 | 13 |
| 关键词 | machine learning robustness sensitivity sign languages strain sensors |
| ISSN号 | 1616-301X |
| DOI | 10.1002/adfm.202303504 |
| 通讯作者 | Luo, Xuemei(xmluo@imr.ac.cn) ; Zhang, Guangping(gpzhang@imr.ac.cn) |
| 英文摘要 | Flexible strain sensors with high sensitivity and high mechanical robustness are highly desirable for their accurate and long-term reliable service in wearable human-machine interfaces. However, the current application of flexible strain sensors has to face a trade-off between high sensitivity and high mechanical robustness. The most representative examples are micro/nano crack-based sensors and serpentine meander-based sensors. The former one typically shows high sensitivity but limited robustness, while the latter is on the contrary. Herein, ultra-robust and sensitive flexible strain sensors are developed by crack-like pathway customization and ingenious modulation of low/high-resistance regions on a serpentine meander structure. The sensors show high cyclic stability (10 000 cycles), strong tolerance to harsh environments, high gauge factor (>1000) comparable with that of the crack-based sensor, and fast response time (<58 ms). Finally, the sensors are integrated into a wearable sign language translation system, which is wireless, low-cost, and lightweight. Recognition rates of over 98% are demonstrated for the translation of 21 sign languages with the assistance of machine learning. This system facilitates achieving barrier-free communication between signers and nonsigners and offers broad application prospects in gesture interaction. |
| 资助项目 | National Natural Science Foundation of China (NSFC)[52071319] ; Fundamental Research Project of Shenyang National Laboratory for Materials Science[L2019F23] |
| WOS研究方向 | Chemistry ; Science & Technology - Other Topics ; Materials Science ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000988200900001 |
| 出版者 | WILEY-V C H VERLAG GMBH |
| 资助机构 | National Natural Science Foundation of China (NSFC) ; Fundamental Research Project of Shenyang National Laboratory for Materials Science |
| 源URL | [http://ir.imr.ac.cn/handle/321006/177933]  |
| 专题 | 金属研究所_中国科学院金属研究所 |
| 通讯作者 | Luo, Xuemei; Zhang, Guangping |
| 作者单位 | 1.Univ Sci & Technol China, Sch Mat Sci & Engn, 72 Wenhua Rd, Shenyang 110016, Peoples R China 2.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China 3.Northeastern Univ, Sch Mat Sci & Engn, Key Lab Anisotropy & Texture Mat, Minist Educ, 3-11 Wenhua Rd, Shenyang 110819, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Xuping,Luo, Xuemei,Song, Zhuman,et al. Ultra-Robust and Sensitive Flexible Strain Sensor for Real-Time and Wearable Sign Language Translation[J]. ADVANCED FUNCTIONAL MATERIALS,2023:13. |
| APA | Wu, Xuping,Luo, Xuemei,Song, Zhuman,Bai, Yaoyao,Zhang, Bin,&Zhang, Guangping.(2023).Ultra-Robust and Sensitive Flexible Strain Sensor for Real-Time and Wearable Sign Language Translation.ADVANCED FUNCTIONAL MATERIALS,13. |
| MLA | Wu, Xuping,et al."Ultra-Robust and Sensitive Flexible Strain Sensor for Real-Time and Wearable Sign Language Translation".ADVANCED FUNCTIONAL MATERIALS (2023):13. |
入库方式： OAI收割
来源：金属研究所
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