Single-channel multi-core fiber sensor for finger bending detection based on composite calibration
Accurate and real-time sensing of finger motion is essential for applications in wearable electronics, human-machine interaction, and rehabilitation monitoring. In this study, we propose a single-channel multi-core fiber sensor system for finger bending detection, integrating thermal diffusion technology with a composite calibration mechanism based on dual-wavelength multi-core fiber Bragg gratings. A thermal diffusion-fabricated coupler is used to combine multiple fiber Bragg grating signals from different cores into a single optical channel, significantly reducing hardware complexity and enhancing system compactness. To further improve sensing precision and stability, the composite calibration strategy based on dual-wavelength multi-core fiber Bragg gratings effectively compensates for errors arising from structural packaging and cross-sensitivity. Experimental results demonstrate that the sensor achieves accurate and stable multi-parameter decoupling, with excellent repeatability and low crosstalk. The proposed design enables high integration, flexible fabrication, and reliable performance, offering a scalable and efficient solution for next-generation wearable optical fiber sensing systems.
Authors
- Libo Yuan (ORCID: https://orcid.org/0000-0002-2425-4553)
- Xiaotong Zhang (ORCID: https://orcid.org/0000-0001-7600-7231)
- Shuyang Li (ORCID: https://orcid.org/0000-0001-5616-3202)
- Hongye Wang (ORCID: https://orcid.org/0000-0002-6898-7484)
- Tingting Yuan (ORCID: https://orcid.org/0009-0008-0333-3296)
- Qi Xia (ORCID: https://orcid.org/0000-0003-1928-822X)
Institutions
- Harbin Engineering University (CN)
- Ningbo University of Technology (CN)
- Guilin University of Electronic Technology (CN)
Publication Details
- Journal
- Optics Express
- Published
- 2025-07-24
- DOI
- https://doi.org/10.1364/oe.572413
- Citations
- 1
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.67