.png){kind=icon}
Return
Deep Learning-Enabled Two-Directional Stretchable Strain Sensor Based on a Single Multimode Fiber
.png){kind=icon}
PRE
AI
DOI：10.1109/JSEN.2024.3395613.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this work, we have demonstrated a specklegram proprioceptive sensor capable of sensing large tensile strains based on a single silica multimode fiber (MMF) embedded in a soft silicone pad. Taking advantage of the rich information contained in the output speckle patterns from the MMF and a convolutional neural network (CNN)-based regression demodulation algorithm, the sensor shows an extended strain sensing range of up to 10%, and the root-mean-squared error (RMSE) is determined to be less than 0.05%. In addition, by integrating with a classification model, the sensor is also able to distinguish the direction of the applied tensile strains, i.e., the axial or the longitudinal directions, with an accuracy of 100%. The proposed sensor has the advantages of low cost, ease of fabrication, and large strain capability and could find wide applications in the field of soft robotics.
Keywords:
Interference
machine learning (ML)
multimode fiber (MMF)
optical fiber sensor
specklegram sensor
strain sensor
Journal
IF:
4.5
Papers:
2.2W
Citations:
7.3W
Organization
Cited Papers
ShareSaveMachine learning for sensing with a multimode exposed core fiber specklegram sensor.png)
OPTICS EXPRESS
OAAI
OPTICS EXPRESSIF3.3
OAAIShareSaveMachine-Learning-Enabled Multimode Fiber Specklegram Sensors: A ReviewIEEE SENSORS JOURNAL
IEEE SENSORS JOURNALIF4.5
PREAI
ShareSaveShareSaveShareSaveA Machine-Learning-Based Approach to Solve Both Contact Location and Force in Soft Material Tactile SensorsSOFT ROBOTICS
SOFT ROBOTICSIF6.1
PREAI
ShareSave
View more