Finger motion detection based on optical fiber Bragg grating with polyimide substrate

Guo, Yongxing; Zhu, Jiajing; Li, Xiong; Guan, Jiaxi

doi:10.1016/j.sna.2022.113482

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…From the data, it is evident that the highest SD value arises at the MF-MCP joint, reaching 1.42 • . When compared to the study in reference [7] that used forearm muscles for gesture recognition, and achieved a maximum SD of 2.19 • , the current glove design displays more consistent performance in recognizing gestures. Figure 6 further displays the data obtained when Gesture 1 is performed.…”

Section: Gesture Recognitionmentioning

confidence: 69%

“…By assessing hand movements in real-time, valuable information on hand posture and trajectory can be gathered, enabling us to comprehend human movement mechanisms, evaluate patient rehabilitation progress, and operate industrial remote-controlled robots effectively [1][2][3]. Despite the advancements in research on human-robot interaction, achieving natural interaction is still a challenge due to the complexity and variability of human gestures [4][5][6][7]. Fiber grating sensing technology presents a uniquely advantageous solution as it integrates optical signal transmission and sensing functions into a single optical fiber [8], reducing the number and size of the electrical devices needed for sensors.…”

Section: Introductionmentioning

confidence: 99%

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Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing

Rao,

Luo,

et al. 2023

Sensors

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This study introduces a new wearable fiber-optic sensor glove. The glove utilizes a flexible material, polydimethylsiloxane (PDMS), and a silicone tube to encapsulate fiber Bragg gratings (FBGs). It is employed to enable the self-perception of hand posture, gesture recognition, and the prediction of grasping objects. The investigation employs the Support Vector Machine (SVM) approach for predicting grasping objects. The proposed fiber-optic sensor glove can concurrently monitor the motion of 14 hand joints comprising 5 metacarpophalangeal joints (MCP), 5 proximal interphalangeal joints (PIP), and 4 distal interphalangeal joints (DIP). To expand the measurement range of the sensors, a sinusoidal layout incorporates the FBG array into the glove. The experimental results indicate that the wearable sensing glove can track finger flexion within a range of 0° to 100°, with a modest minimum measurement error (Error) of 0.176° and a minimum standard deviation (SD) of 0.685°. Notably, the glove accurately detects hand gestures in real-time and even forecasts grasping actions. The fiber-optic smart glove technology proposed herein holds promising potential for industrial applications, including object grasping, 3D displays via virtual reality, and human–computer interaction.

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Section: Gesture Recognitionmentioning

confidence: 69%

Section: Introductionmentioning

confidence: 99%

Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing

Rao,

Luo,

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…The experimental results show that the FBG sensing device exhibits good agreement with the motion capture camera outputs. Guo et al [21] embedded FBGs into a polyimide substrate and fixed them on the human forearm to monitor muscle deformation. Different gestures will cause the corresponding muscles to produce constriction, which triggers the FBGs' different responses.…”

Section: Introductionmentioning

confidence: 99%

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

Feng

Wang

Liu

et al. 2023

Meas. Sci. Technol.

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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.

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Explainable AI based wearable electronic optical data analysis with quantum photonics and quadrature amplitude neural computing

et al. 2023

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Finger motion detection based on optical fiber Bragg grating with polyimide substrate

Cited by 10 publications

References 23 publications

Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing

Study on the Design and Performance of a Glove Based on the FBG Array for Hand Posture Sensing

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

Explainable AI based wearable electronic optical data analysis with quantum photonics and quadrature amplitude neural computing

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