Optical fiber specklegram sensors for mechanical measurements: A review
This paper presents a review of FSS technology. The operation principle and main
characteristics of specklegram are presented and the applications of FSSs are thoroughly …
characteristics of specklegram are presented and the applications of FSSs are thoroughly …
[HTML][HTML] Optical fiber sensors for heart rate monitoring: A review of mechanisms and applications
As an important part of the medical health monitoring field, heart rate (HR) monitoring has
become an important application field of sensing technology in recent years. Due to the …
become an important application field of sensing technology in recent years. Due to the …
Machine learning for turning optical fiber specklegram sensor into a spatially-resolved sensing system. Proof of concept
Fiber Specklegram Sensors (FSSs) are highly sensitive to external perturbations, however,
trying to locate perturbation's position remains as a barely addressed study. In this work, a …
trying to locate perturbation's position remains as a barely addressed study. In this work, a …
Machine learning for sensing with a multimode exposed core fiber specklegram sensor
Fiber specklegram sensors (FSSs) traditionally use statistical methods to analyze
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
Deep learning for estimating deflection direction of a multimode fiber from specklegram
S Razmyar, MT Mostafavi - Journal of Lightwave Technology, 2021 - opg.optica.org
This study presents a novel approach and proof-of-concept for measuring the deflection
direction of a multimode fiber's tip through analysis of the shape and structure of speckle …
direction of a multimode fiber's tip through analysis of the shape and structure of speckle …
Weight-location recognition in a plastic optical fiber using a convolutional neural network
Convolutional neural networks (CNNs) have proven to be highly efficient in performing
arduous tasks such as image reconstruction, image classification, etc. on multimode fiber …
arduous tasks such as image reconstruction, image classification, etc. on multimode fiber …
Deep learning-based fiber bending recognition for sensor applications
The sensitivity of multimode fibers (MMFs) to mechanical deformations has led to their
widespread use in various fields, such as structural monitoring and healthcare. However …
widespread use in various fields, such as structural monitoring and healthcare. However …
Transfer learning and generalization of a neural-network-based multimode fiber position and imaging sensor under thermal perturbations
Fiber specklegrams created through multimode fibers have been utilized in a wide variety of
imaging and sensing applications. In a practical environment it is useful to have a system …
imaging and sensing applications. In a practical environment it is useful to have a system …
Refractive index sensing based on the analysis of D-shaped multimode fiber specklegrams
G Mu, Y Liu, Q Qin, Z Tan, G Li… - IEEE Photonics …, 2020 - ieeexplore.ieee.org
Mode excitations in D-shaped multimode fiber are analyzed in detail in terms of the effect of
launch offset, polishing depth, and length of the D-shaped section. Based on the analysis …
launch offset, polishing depth, and length of the D-shaped section. Based on the analysis …
Investigation on refractive index sensing characteristics based on multimode fiber specklegram
L Cai, M Wang, Y Zhao - Measurement Science and Technology, 2022 - iopscience.iop.org
In this study, the refractive index (RI) sensing characteristic of a single mode fiber (SMF)-
multimode fiber (MMF) structure is investigated, and the two demodulation methods of …
multimode fiber (MMF) structure is investigated, and the two demodulation methods of …