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Cascaded Fabry-Perot interferometric air bubble strain sensor for finger motions

Yanshu Zeng, Xianli Li*, Jingwei Lv, Jianxin Wang, Hongze Zou, Wei Liu, Chao Liu*, Paul K. Chu

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Strain sensors have important applications in health monitoring. Herein, a cascaded air bubble strain sensor based on Fabry-Perot interference is designed and analyzed. By using single-mode optical fibers, cascaded air bubbles are fabricated as the sensing elements. The external environment alters the wall thickness of the air bubbles and, consequently, the interference spectra. The sensor can detect strains in the range of 0–1200 με with a sensitivity of 11.07 pm/με. Considering the temperature cross-sensitivity, the sensor is placed in a thermostatic heating platform and heated to 100 °C. The temperature cross-sensitivity is 0.2 µε/°C. To demonstrate the practicality, the sensor is fixed on fingers to sense the bending motion of joints. Experimental results confirm high strain sensitivity and low temperature cross-sensitivity. As the sensor also offers good repeatability and stability for strain sensing, it has immense potential in applications such as finger rehabilitation training and gesture recognition. © 2025 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
Original languageEnglish
Article number105988
JournalInfrared Physics & Technology
Volume150
Online published21 Jun 2025
DOIs
Publication statusPublished - Nov 2025

Funding

This work was jointly supported by the Heilongjiang Provincial Natural Science Foundation of China [JQ2023F001], National Natural Science Foundation of China [12304480], Natural Science Foundation of Heilongjiang Province [LH2021F007], China Postdoctoral Science Foundation funded project [2020M670881], the National Natural Science Foundation of China (62305223), Natural Science Foundation of Guangdong Province (2022A1515110971), the project was supported in part by the Fundamental project Natural Science Foundation of Heilongjiang Province (LH2022F004), as well as City University of Hong Kong Donation Research Grants [DON-RMG 9229021 and 9220061].

Research Keywords

  • Strain sensor
  • Fabry-Pe<acute accent>rot Interference
  • Micro air bubbles
  • Finger motion detection

RGC Funding Information

  • RGC-funded

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