Issue

Vol. 17 (2025)

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

https://doi.org/10.1007/s40820-024-01572-5
Yan Dong
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, People’s Republic of China
Wenzheng An
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, People’s Republic of China
Zihu Wang
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, People’s Republic of China
Dongzhi Zhang
College of Control Science and Engineering, China University of Petroleum (East China), Qingdao 266580, People’s Republic of China

Corresponding Author: Dongzhi Zhang

dzzhang@upc.edu.cn

Nano-Micro Letters, Vol. 17 (2025), Article Number: 62

Abstract

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 consumer markets.


Highlights:
1 The sandwich-structured flexible mechanoluminescent sensor (SFLC) film shows great application potential as wireless wearable strain sensor and encryption device.
2 System-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 temperatures.
3 The smart glove wearable sensor based on the SFLC film combined with deep learning neural network enables fast and accurate hand gesture recognition.

Keywords

Mechanoluminescent Strain sensor Flexible Deep learning Wireless
Dong, Yan, Wenzheng An, Zihu Wang, and Dongzhi Zhang. 2024. “An Artificial Intelligence-Assisted Flexible and Wearable Mechanoluminescent Strain Sensor System”. Nano-Micro Letters 17 (November):62. https://doi.org/10.1007/s40820-024-01572-5.
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