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An Artificial Intelligence-Assisted Flexible and Wearable Mechanoluminescent Strain Sensor System
Yan Dong1, Wenzheng An2, Zihu Wang2
1College of Control Science and Engineering, China University of Petroleum (East China), Qingdao, 266580, People's Republic of China. yandong@upc.edu.cn.
Nano-Micro Letters
|November 14, 2024
Summary
This study introduces an AI-assisted, wireless, flexible strain sensor system. It overcomes limitations in wearable electronics for accurate, on-site strain measurement and gesture recognition.
Area of Science:
- Materials Science
- Wearable Technology
- Artificial Intelligence
Background:
- Flexible strain sensors face challenges in practical wearable applications due to complex wiring and data interpretation issues.
- Existing systems struggle with real-time, on-site analysis of strain data, limiting their widespread adoption.
- Mechanoluminescent sensors offer potential but require robust methods for accurate color-to-strain conversion.
Purpose of the Study:
- To develop an artificial intelligence-assisted, wireless, flexible, and wearable mechanoluminescent strain sensor system (AIFWMLS).
- To address the limitations of current flexible strain sensors for practical wearable applications.
- To enable rapid, accurate, and on-site interpretation of strain data from mechanoluminescent sensors.
Main Methods:
- Integration of a deep learning neural network-based color data processing system (CDPS) with a sandwich-structured flexible mechanoluminescent sensor (SFLC) film.
- Development of a CDPS for rapid and accurate extraction and interpretation of SFLC film color to strain values.
- Implementation of auto-correction for color temperature variations to enhance strain prediction accuracy.
Main Results:
- The SFLC film demonstrated robust mechanoluminescent performance with a simple, easily fabricated structure.
- The CDPS system achieved rapid and accurate strain value extraction from the SFLC film's color.
- The system successfully demonstrated human gesture recognition using a smart glove mechanoluminescent sensor system.
- The SFLC film showed versatility, also functioning as an encryption device.
Conclusions:
- The AIFWMLS system effectively overcomes the "color to strain value" bottleneck for flexible colorimetric strain sensors.
- This integration of AI and SFLC film offers a promising strategy for advancing wearable and flexible strain sensor technology.
- The developed system has significant potential for transitioning flexible strain sensors from laboratory research to consumer markets.
