Optical fiber Bragg grating based sensing system of flexible wearable smart sleeve for tracking human arm joint movements

Abstract

Optical fiber Bragg sensor (FBG) has great potential in the field of flexible wearable device for tracking human gestures. Due to the different human size, different wearable tensions cause errors inevitably during tracking joint movements. We have designed a flexible wearable smart sleeve with four heads of FBG and spandex polyurethane fibers. The spandex polyurethane fibers sewed with the Optical fiber Bragg sensor (FBG) has great potential in the field of flexible wearable device for tracking human gestures. Due to the different human size, different wearable tensions cause errors inevitably during tracking arm joint movements. We have designed a flexible wearable smart sleeve with four heads of FBG and spandex polyurethane fibers. The spandex polyurethane fibers sewed with the flexible fabric sleeve convert the elbow yawing, wrist pitching and rolling into the axial strain of FBG. The measuring system has been developed to deduce the personalized sensitivity by a dynamic calibration method. For a male and a female, the dynamic calibration, verification and tracking tests were carried out. From the male’s experimental data, the relative errors between the verification sensitivity and the personalized sensitivity are 1.93%, 5.85% and 7.16%, and the average relative errors between the tracking sensitivity and the personalized sensitivity are 7.09%, 5.58% and 2.52%, respectively. And from the data of the female’s experiment, the relative errors between the verification sensitivity and the personalized sensitivity are 0.25%, 5.0% and 6.75%, and the average relative errors between the tracking sensitivity and the personalized sensitivity are 0.99%, 5.56% and 6.95%, respectively. The experimental data have showed this wearable smart sleeve and the measuring system work well. The research results can be used to develop FBG sensing system of monitoring joint movements for different human size on-line.

Remote monitoring of sleep disorder using FBG sensors and FSO transmission system enabled smart vest

“…FBG based wearable systems have been widely researched to monitor various vital physiological parameters of the human body such as heart rate monitoring using smart garment [13,14], probe [15], pad [16], mattress [17][18][19], respiratory rate monitoring using smart garment [13,20], conventional oxygen cannulas [21], resistive strip [22], body temperature monitoring using FBG temperature sensors [23], smart garment [12], body postures monitoring during sleep using smart pillow [24], smart bed [8], silicon embedded FBG pressure sensors [25], plantar pressure monitoring using pressure sensitive soles [26,27], smart shoe [28], joint movement monitoring [29,30], and blood glucose monitoring using specially developed FBGs [31,32]. The goal of this paper is twofold: first the experimental characterization of FBG stress sensors is performed to compare with simulated results obtained using OptiSystem software to validate the simulation results.…”

Research on Convex Fiber Grating Tactile Sliding Sensor Based on Mechanical Fingers

“…The external pressure is amplified through the rhomboid metal structure and acts on both ends of the grating, ensuring high measurement accuracy and the good long-term stability of the sensor [ 5 ]; Lu Xingzhi et al proposed a demodulation method of an FBG sensing system based on nonlinear wavelength drift calibration with an F-P standard to solve the problem of an insufficient demodulation accuracy of the FBG demodulation system due to wavelength drift under variable temperature environments [ 6 ]. Long Yuheng et al proposed a flexible single “cross” and double “cross” touch sliding sensing composite sensor based on FBG that can effectively distinguish sliding signals [ 7 ]; Feng Yue et al designed a soft finger tactile sensing system based on FBG to realize surface texture recognition, reconstruction, and object hardness recognition [ 8 ].…”

A soft tactile sensing array with high sensitivity based on MWCNTs-PDMS composite of hierarchically porous structure

“…In general, the sensing mechanisms of pressure sensor can be classified into four typical categories: piezoelectricity [7][8][9], piezo-resistance [10][11][12], optics [13][14][15] and capacitance [16][17][18]. Among these mechanisms, extensive researches on capacitive implementation have been widely carried out due to its fast response time, considerable stability, durability and economic efficiency.…”