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作 者:Yan Dong Wenzheng An Zihu Wang Dongzhi Zhang
出 处:《Nano-Micro Letters》2025年第3期217-231,共15页纳微快报(英文版)
基 金:funded by the National Natural Science Foundation of China(52475580);the Special Foundation of the Taishan Scholar Project(tsqn202211077,tsqn202311077);Shandong Provincial Excellent Overseas Young Scholar Foundation(2023HWYQ-069);the Shandong Provincial Natural Science Foundation(ZR2023ME118,ZR2023QF080);the Natural Science Foundation of Qingdao City(23-2-1-219-zyyd-jch,23-2-1-111-zyyd-jch);the Fundamental Research Funds for the Central Universities(23CX06032A).
摘 要: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 intelligenceassisted,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 consumer markets.
关 键 词:Mechanoluminescent Strain sensor FLEXIBLE Deep learning WIRELESS
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