研究目的
To develop and evaluate a fiber Bragg grating (FBG) sensor-based glove for accurately measuring finger joint angles, specifically the proximal interphalangeal (PIP) joints, for applications in rehabilitation and bionics.
研究成果
The FBG-based glove demonstrated high accuracy and repeatability in measuring PIP joint angles, outperforming existing sensors. It shows potential for applications in rehabilitation and bionics, with plans to extend to all joints and develop a rehabilitation system for stroke patients.
研究不足
The study was limited to PIP joints of three fingers (index, middle, ring) and did not cover all finger joints. The glove fitting could affect accuracy, as seen with subject 1. Future work is needed to extend to all joints and test in rehabilitation settings.
1:Experimental Design and Method Selection:
The study involved designing a glove with FBG sensors to measure PIP joint angles, using an interrogation system based on tunable diode laser spectroscopy for FBG signal processing, and comparing results with IMU sensors as a reference.
2:Sample Selection and Data Sources:
Four human subjects were selected, and data were collected from the PIP joints of the index, middle, and ring fingers.
3:List of Experimental Equipment and Materials:
Equipment included FBG sensors with specified wavelengths and reflectivities, a DFB laser (Toptica Photonics, LD-1550-0040-DFB-1), laser controllers (ThorLabs TED 200C and LDC 220C), photo-detectors (ThorLabs PDA10D-EC), optical switches (Lightwave Link 1-2-L-9-L-3 and 2-2-L-9-L-3), a data acquisition system (Measurement Corp USA USB-1608G), IMU sensors (InvenSense MPU6050), and an Arduino Mega
4:Materials included a spring with stiffness constant 100 Nm?1, wire diameter 2 mm, outer diameter 9 mm, length 10 mm, and acrylate SMF-28 fiber. Experimental Procedures and Operational Workflow:
25 Subjects wore the glove and bent fingers slowly; FBG and IMU data were recorded at 2° intervals using a LabVIEW application. Calibration involved fitting a linear model to IMU readings and wavelength shifts. Repeatability was tested with five runs per subject.
5:Data Analysis Methods:
Data were analyzed using statistical measures (R-Squared, mean error, standard deviation) and compared with existing sensors. Wavelength shifts were calculated using MZI peaks and acetylene gas-line referencing.
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DFB laser
LD-1550-0040-DFB-1
Toptica Photonics
Used as the light source in the interrogation system to emit light for FBG sensing.
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Laser temperature controller
TED 200C
ThorLabs
Used to tune the emission wavelength of the laser.
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Current controller
LDC 220C
ThorLabs
Used to control the current of the laser for wavelength tuning.
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Photo-detector
PDA10D-EC
ThorLabs
Used to detect light from FBGs, MZI, and gas-cell in the interrogation system.
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Optical switch
1-2-L-9-L-3
Lightwave Link
Used in the interrogation system to route optical signals.
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Optical switch
2-2-L-9-L-3
Lightwave Link
Used in the interrogation system to route optical signals.
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Data acquisition system
USB-1608G
Measurement Corp USA
Used to digitize photo-detector signals for data analysis.
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IMU sensor
MPU6050
InvenSense
Used as a reference to measure joint angles and compare with FBG sensor readings.
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Arduino
Mega 2560
Arduino
Used to interface with IMU sensors for data collection.
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FBG sensor
Used as the primary sensor to measure strain and calculate joint angles based on Bragg wavelength shift.
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Spring
Attached to FBG to construct the sensor unit, elongates with finger flexion to induce strain.
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Optical fiber
SMF-28
Used as the base for FBG sensors, made of acrylate material.
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