首页|An Artificial Intelligence-Assisted Flexible and Wearable Mechanoluminescent Strain Sensor System

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

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An Artificial Intelligence-Assisted Flexible and Wearable Mechanoluminescent Strain Sensor System
The complex wiring,bulky data collection devices,and difficulty in fast and on-site data interpreta-tion significantly limit the practical application of flex-ible strain sensors as wearable devices.To tackle these challenges,this work develops an artificial intelligence-assisted,wireless,flexible,and wearable mechanolumi-nescent strain sensor system(AIFWMLS)by integration of deep learning neural network-based color data pro-cessing system(CDPS)with a sandwich-structured flex-ible 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 applica-tion of flexible colorimetric strain sensors,which could promote the development of wearable and flexible strain sensors from laboratory research to consumer markets.

MechanoluminescentStrain sensorFlexibleDeep learningWireless

Yan Dong、Wenzheng An、Zihu Wang、Dongzhi Zhang

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College of Control Science and Engineering,China University of Petroleum(East China),Qingdao 266580,People's Republic of China

Mechanoluminescent Strain sensor Flexible Deep learning Wireless

2025

纳微快报(英文)
上海交通大学

纳微快报(英文)

ISSN:2311-6706
年,卷(期):2025.17(3)