A skin-inspired tactile sensor for smart prosthetics

Wu, Yuanzhao; Liu, Yiwei; Zhou, Youlin; Man, Qikui; Hu, Chao; Asghar, Waqas; Li, Fali; Yu, Zhe; Shang, Jie; Liu, Gang; Liao, Meiyong; Li, Run-Wei

doi:10.1126/scirobotics.aat0429

Cited by 221 publications

(116 citation statements)

References 53 publications

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“…In this work, the acquisition system simultaneously collected voltage signals with 9-channel sensor arrays located at the Cun, Guan, and Chi positions. Thus, the sensing platform could sense pulse signals in 2 dimensions, as reported in the literature 48 – 50 , but also provided multidimensional signals that were similar to those from TCMS doctors 47 . The nine sensing elements were located on the wrist plane, and each element contacted the skin surface effectively due to the high flexibility of the sensor arrays.…”

Section: Resultsmentioning

confidence: 78%

Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

Wang

Zhu

et al. 2022

Microsyst Nanoeng

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Pulse diagnosis is an irreplaceable part of traditional Chinese medical science. However, application of the traditional pulse monitoring method was restricted in the modernization of Chinese medical science since it was difficult to capture real signals and integrate obscure feelings with a modern data platform. Herein, a novel multichannel pulse monitoring platform based on traditional Chinese medical science pulse theory and wearable electronics was proposed. The pulse sensing platform simultaneously detected pulse conditions at three pulse positions (Chi, Cun, and Guan). These signals were fitted to smooth surfaces to enable 3-dimensional pulse mapping, which vividly revealed the shape of the pulse length and width and compensated for the shortcomings of traditional single-point pulse sensors. Moreover, the pulse sensing system could measure the pulse signals from different individuals with different conditions and distinguish the differences in pulse signals. In addition, this system could provide full information on the temporal and spatial dimensions of a person’s pulse waveform, which is similar to the true feelings of doctors’ fingertips. This innovative, cost-effective, easily designed pulse monitoring platform based on flexible pressure sensor arrays may provide novel applications in modernization of Chinese medical science or intelligent health care.

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Section: Resultsmentioning

confidence: 78%

Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

Wang

Zhu

et al. 2022

Microsyst Nanoeng

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“…Although there are numerous applications for tactile sensors (e.g., minimal invasive surgery [43] and smart prosthetics [44]), tactile sensing technology lags behind vision. In particular, current tactile sensors remain difficult to scale and integrate with robot platforms.…”

Section: Neutouch: An Event-based Tactile Sensormentioning

confidence: 99%

Event-Driven Visual-Tactile Sensing and Learning for Robots

Taunyazov¹,

Sng²,

Lim³

et al. 2020

Robotics: Science and Systems XVI

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This work contributes an event-driven visual-tactile perception system, comprising a novel biologically-inspired tactile sensor and multi-modal spike-based learning. Our neuromorphic fingertip tactile sensor, NeuTouch, scales well with the number of taxels thanks to its event-based nature. Likewise, our Visual-Tactile Spiking Neural Network (VT-SNN) enables fast perception when coupled with event sensors. We evaluate our visual-tactile system (using the NeuTouch and Prophesee event camera) on two robot tasks: container classification and rotational slip detection. On both tasks, we observe good accuracies relative to standard deep learning methods. We have made our visual-tactile datasets freely-available to encourage research on multi-modal event-driven robot perception, which we believe is a promising approach towards intelligent power-efficient robot systems.

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“…Artificial sensory and motor nervous systems are applicable to replace damaged nerves of disabled persons, to enhance human sensory and motor functions, and to provide solutions to compatible human-machine interface and neurorobots [ 1 – 6 ]. So far, partial functions have been realized for environmental signal perception [ 7 – 9 ], neuron-like signal transmission and processing [ 7 – 10 ], and action control [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

An Artificial Reflex Arc That Perceives Afferent Visual and Tactile Information and Controls Efferent Muscular Actions

Sun

et al. 2022

Research

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Neural perception and action-inspired electronics is becoming important for interactive human-machine interfaces and intelligent robots. A system that implements neuromorphic environmental information coding, synaptic signal processing, and motion control is desired. We report a neuroinspired artificial reflex arc that possesses visual and somatosensory dual afferent nerve paths and an efferent nerve path to control artificial muscles. A self-powered photoelectric synapse between the afferent and efferent nerves was used as the key information processor. The artificial reflex arc successfully responds to external visual and tactile information and controls the actions of artificial muscle in response to these external stimuli and thus emulates reflex activities through a full reflex arc. The visual and somatosensory information is encoded as impulse spikes, the frequency of which exhibited a sublinear dependence on the obstacle proximity or pressure stimuli. The artificial reflex arc suggests a promising strategy toward developing soft neurorobotic systems and prostheses.

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A skin-inspired tactile sensor for smart prosthetics

Abstract: A skin-inspired tactile sensor achieved transduction of digital-frequency signals by an inductance-capacitance oscillation mechanism.

Cited by 221 publications

References 53 publications

Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

Wearable multichannel pulse condition monitoring system based on flexible pressure sensor arrays

Event-Driven Visual-Tactile Sensing and Learning for Robots

An Artificial Reflex Arc That Perceives Afferent Visual and Tactile Information and Controls Efferent Muscular Actions

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