IMR OpenIR
Ultra-Robust and Sensitive Flexible Strain Sensor for Real-Time and Wearable Sign Language Translation
Wu, Xuping1,2; Luo, Xuemei1; Song, Zhuman1; Bai, Yaoyao3; Zhang, Bin3; Zhang, Guangping1
通讯作者Luo, Xuemei(xmluo@imr.ac.cn) ; Zhang, Guangping(gpzhang@imr.ac.cn)
2023-05-14
发表期刊ADVANCED FUNCTIONAL MATERIALS
ISSN1616-301X
页码13
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.
关键词machine learning robustness sensitivity sign languages strain sensors
资助者National Natural Science Foundation of China (NSFC) ; Fundamental Research Project of Shenyang National Laboratory for Materials Science
DOI10.1002/adfm.202303504
收录类别SCI
语种英语
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
WOS类目Chemistry, Multidisciplinary ; Chemistry, Physical ; Nanoscience & Nanotechnology ; Materials Science, Multidisciplinary ; Physics, Applied ; Physics, Condensed Matter
WOS记录号WOS:000988200900001
出版者WILEY-V C H VERLAG GMBH
引用统计
被引频次:60[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.imr.ac.cn/handle/321006/177934
专题中国科学院金属研究所
通讯作者Luo, Xuemei; Zhang, Guangping
作者单位1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, 72 Wenhua Rd, Shenyang 110016, Peoples R China
2.Univ Sci & Technol China, Sch Mat Sci & Engn, 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
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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.
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