Design and Evaluation of an FBG Sensor-Based Glove to Simultaneously Monitor Flexure of Ten Finger Joints

This paper demonstrates a fiber Bragg grating sensor-based instrumented glove that simultaneously measures the range of motion of the ten finger joints (five metacarpophalangeal, four proximal interphalangeal and one interphalangeal joint) with very high angular resolution (0.1°). The accuracy and r...

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Bibliographic Details
Published inIEEE sensors journal Vol. 21; no. 6; pp. 7620 - 7630
Main Authors Jha, Chandan Kumar, Gajapure, Kshitij, Chakraborty, Arup Lal
Format Journal Article
LanguageEnglish
Published New York IEEE 15.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Angular resolution
bio-mechanics
Bragg gratings
Fiber Bragg gratings
Fiber gratings
Finger jointing
Flexing
flexure
Gloves
hand
Inertial platforms
Inertial sensing devices
Instruments
Joints
Rehabilitation
Reliability
Sensors
strain sensor
stroke
Temperature measurement
Temperature sensors
Virtual reality
Wavelength measurement
wearable
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Summary:This paper demonstrates a fiber Bragg grating sensor-based instrumented glove that simultaneously measures the range of motion of the ten finger joints (five metacarpophalangeal, four proximal interphalangeal and one interphalangeal joint) with very high angular resolution (0.1°). The accuracy and repeatability of all the ten sensors of the glove are compared with a pre-calibrated inertial measurement unit (IMU) sensor. The glove outperforms many earlier reported sensing gloves with a mean error of 0.80°. The standard deviation (1.01°) and range (2.60°) obtained in the reliability test performed on five healthy subjects are also smaller compared to many other gloves. The feasibility of using the glove in real-world applications has been shown by demonstrating a virtual reality (VR) platform that uses a Raspberry Pi-based module to interface the glove with custom VR games running on an Android tablet or a VR headset. VR-based gaming platforms have become popular in the rehabilitation of the upper limb in stroke patients in recent years. The high accuracy and reliability of this glove will enable accurate tracking of the movement quality and recovery progress of stroke patients during the virtual rehabilitation therapy.
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ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2020.3046521