Prosthetic Hand with Biomimetic Tactile Sensing and Force Feedback

Navaraj, William Taube; Nassar, Habib; Dahiya, Ravinder

doi:10.1109/iscas.2019.8702732

Cited by 17 publications

(21 citation statements)

References 23 publications

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“…Various architectures were used to realize the tactile sensors for electronic skin as shown in Figure S1, Supporting Information [2a]. The biomimetic tactile‐sensing architecture finally used (Figure ) composed of a floating electrode‐based capacitive structure in tandem with a piezoelectric structure [12a,18]. Figure a shows the pattern of the three layers of electrodes used for realizing the sensor stack.…”

Section: Methodsmentioning

confidence: 99%

“…After digitization, the data from both sensors were sent to a personal computer (PC) via Bluetooth at a baud rate of 115 200 bps. Having a tetherless wireless interface was advantageous for application in prosthetic feedback …”

Section: Methodsmentioning

confidence: 99%

“…The sensor stack was integrated on the distal phalange of the index finger of a robotic/prosthetic hand, as shown in Figure c. The hand was designed and fabricated via 3D printing for application as a myoelectric‐controlled prosthesis . The myoelectric control of the hand is shown in Video S3, Supporting Information.…”

Section: Methodsmentioning

confidence: 99%

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Fingerprint‐Enhanced Capacitive‐Piezoelectric Flexible Sensing Skin to Discriminate Static and Dynamic Tactile Stimuli

Navaraj

Dahiya

2019

Advanced Intelligent Systems

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125

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Inspired by the structure and functions of the human skin, a highly sensitive capacitive‐piezoelectric flexible sensing skin with fingerprint‐like patterns to detect and discriminate between spatiotemporal tactile stimuli including static and dynamic pressures and textures is presented. The capacitive‐piezoelectric tandem sensing structure is embedded in the phalange of a 3D‐printed robotic hand, and a tempotron classifier system is used for tactile exploration. The dynamic tactile sensor, interfaced with an extended gate configuration to a common source metal oxide semiconductor field effect transistor (MOSFET), exhibits a sensitivity of 2.28 kPa−1. The capacitive sensing structure has nonlinear characteristics with sensitivity varying from 0.25 kPa−1 in the low‐pressure range (<100 Pa) to 0.002 kPa−1 in high pressure (≈2.5 kPa). The output from the presented sensor under a closed‐loop tactile scan, carried out with an industrial robotic arm, is used as latency‐coded spike trains in a spiking neural network (SNN) tempotron classifier system. With the capability of performing a real‐time binary naturalistic texture classification with a maximum accuracy of 99.45%, the presented bioinspired skin finds applications in robotics, prosthesis, wearable sensors, and medical devices.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Fingerprint‐Enhanced Capacitive‐Piezoelectric Flexible Sensing Skin to Discriminate Static and Dynamic Tactile Stimuli

Navaraj

Dahiya

2019

Advanced Intelligent Systems

Self Cite

125

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“…In 2005, it is estimated that there were 1.6 million people suffering from limb amputations in the United States and a similar number in the EU (Mohanna et al, 2003;Ziegler-Graham et al, 2008;Marshall and Stansby, 2010). By 2050, in the United States, the number of cases is estimated to reach 3.6 million (Varma et al, 2014).…”

Section: Peripheral Nerves Nerve Injuries and Amputationsmentioning

confidence: 99%

“…Much of research work is focusing on obtaining prosthetic sensory signals (Graczyk et al, 2018;Cuberovic et al, 2019), necessary not only to elicit the sensory perceptions of the natural limbs (George et al, 2019;Navaraj et al, 2019), but also to increase the control and the coordination of the prosthetic device without the need of visual and/or auditory signals, to identify the type of element being manipulated and to create proprioception FIGURE 2 | Nerve injury and regeneration under ideal conditions. Time course and biomolecular processes.…”

Section: The Need Of An Ordered and Differentiated Regeneration Of Sementioning

confidence: 99%

Biomimetic Approaches for Separated Regeneration of Sensory and Motor Fibers in Amputee People: Necessary Conditions for Functional Integration of Sensory–Motor Prostheses With the Peripheral Nerves

Guedan-Duran

Jemni-Damer

Orueta-Zenarruzabeitia

et al. 2020

Front. Bioeng. Biotechnol.

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Optical Waveguide Fingerprint Recognition Device with Two‐Stage Dual‐Function Gratings

Lin

Wang

et al. 2023

Adv Materials Inter

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for high utilization ratio full-screen information displays. [5][6][7][8][9][10][11][12][13][14][15] Under-screen optical fingerprint recognition (UDS-OFPR) is now a dominant technology in mobile displays, [16][17][18][19] in which the display panels are simultaneously used as light sources to shine fingers pressed on the cover glass, and the cameras are embedded beneath them to capture the fingerprint images. However, UDS-OFPR often suffers from significant dampening of the reflected signal by display panels. Arising from the weakness of the signal itself, issues including low signal-to-noise ratio and contamination vulnerability must be addressed, especially the excessive deterioration of images when the polarization direction of the reflective light is altered by protective screen films. Since the launch of the mobile terminal with organic light emitting diodes (OLED) displays, [20] numerous efforts have been made to improve the performance of UDS-OFPR, including inserting a fiber collimation layer, [21] adding a micro-lens array, and leveraging optical waveguides. [22,23] Regrettably, these technologies are insufficient to address the dampening issue caused by the rotation of reflective light polarization. Recently, to realize UDS-OFPR in liquid crystal displays, it was proposed to set extra infrared light sources in the backlight to improve the reflected fingerprint images. [24,25] However, because of the free space optical construction, the thickness of the device has to be substantially increased to fully light the sensing zone, which lowers its viability in mobile displays.In this work, we propose and demonstrate an optical waveguided fingerprint recognition system embedded with twostage dual-function gratings (TSG). In working, the gratings of the first stage couple and split the under-screen incident laser beam into two waveguiding beams. Then the gratings of the second stage are used to expand and direct the two waveguiding beams to the sensing zone. At last, the fingerprint images are captured by a camera under the display screen when a finger is pressed on the optical waveguide film. With this construction, the intensity and contrast of the image signals are significantly enhanced compared to previous free-space solutions, and its slimness, transparency, large sensing area, and replaceability indicate that it is ready for application.

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Prosthetic Hand with Biomimetic Tactile Sensing and Force Feedback

Cited by 17 publications

References 23 publications

Fingerprint‐Enhanced Capacitive‐Piezoelectric Flexible Sensing Skin to Discriminate Static and Dynamic Tactile Stimuli

Fingerprint‐Enhanced Capacitive‐Piezoelectric Flexible Sensing Skin to Discriminate Static and Dynamic Tactile Stimuli

Biomimetic Approaches for Separated Regeneration of Sensory and Motor Fibers in Amputee People: Necessary Conditions for Functional Integration of Sensory–Motor Prostheses With the Peripheral Nerves

Optical Waveguide Fingerprint Recognition Device with Two‐Stage Dual‐Function Gratings

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