检索结果-南通市图书馆

An Artificial Intelligence-Assisted Flexible and Wearable mechanoluminescent Strain Sensor System

NANO-MICRO LETTERS 2025年第1期17卷 1-15页

作者： Dong, Yan An, Wenzheng Wang, Zihu Zhang, Dongzhi China Univ Petr East China Coll Control Sci & Engn Qingdao 266580 Peoples R China

The sandwich-structured flexible mechanoluminescent sensor (SFLC) film shows great application potential as wireless wearable strain sensor and encryption ***-level integration of SFLC film with deep learning-based artificial intelligence enables fast and accurate interpretation of color data to strain values with automatic correction of errors caused by varying color *** smart glove wearable sensor based on the SFLC film combined with deep learning neural network enables fast and accurate hand gesture recognition. The complex wiring, bulky data collection devices, and difficulty in fast and on-site data interpretation significantly limit the practical application of flexible strain sensors as wearable devices. To tackle these challenges, this work develops an artificial intelligence-assisted, wireless, flexible, and wearable mechanoluminescent strain sensor system (AIFWMLS) by integration of deep learning neural network-based color data processing system (CDPS) with a sandwich-structured flexible mechanoluminescent sensor (SFLC) film. The SFLC film shows remarkable and robust mechanoluminescent performance with a simple structure for easy fabrication. The CDPS system can rapidly and accurately extract and interpret the color of the SFLC film to strain values with auto-correction of errors caused by the varying color temperature, which significantly improves the accuracy of the predicted strain. A smart glove mechanoluminescent sensor system demonstrates the great potential of the AIFWMLS system in human gesture recognition. Moreover, the versatile SFLC film can also serve as a encryption device. The integration of deep learning neural network-based artificial intelligence and SFLC film provides a promising strategy to break the "color to strain value" bottleneck that hinders the practical application of flexible colorimetric strain sensors, which could promote the development of wearable and flexible strain sensors from laboratory research to

关键词： mechanoluminescent Strain sensor Flexible Deep learning Wireless

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Recent advances in mechanoluminescent polymers

引用

Science China Materials 2016年第6期59卷 507-520页

作者：袁媛袁伟陈于蓝 Department of Chemistry Tianjin Key Laboratory of Molecular Optoelectronic SciencesTianjin Universityand Collaborative Innovation Center of Chemical Science and EngineeringTianjin 300072China

In recent years, mechanoluminescence from polymers is emerging as a new cutting-edge area of polymer mechanochemistry research. It refers to the release of energy from polymers in the form of light when they are under various mechanical stimuli. To spur more researchers to join in such interesting and new burgeoning area, and promote its development to practical applications, in this review, we try to briefly summarize the recent advances in mechanoluminescent polymers with the aspects of non-covalent, covalent,and cascade reactions systems. We pay much attention on the applications of such polymer systems in molecular level failure and stress sensors, and give a perspective of their potential applications in novel energy conversion materials and devices, as well as self-healing materials.

关键词： mechanochemistry mechanoluminescent polymer stress sensor

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：