JOURNAL ARTICLE

Highly Selective Biomimetic Flexible Tactile Sensor for Neuroprosthetics

Yue LiZhiguang CaoTie LiFuqin SunYuanyuan BaiQifeng LuShuqi WangXianqing YangManzhao HaoNing LanTing Zhang

Year: 2020 Journal:   Research Vol: 2020 Pages: 8910692-8910692   Publisher: American Association for the Advancement of Science

Abstract

Biomimetic flexible tactile sensors endow prosthetics with the ability to manipulate objects, similar to human hands. However, it is still a great challenge to selectively respond to static and sliding friction forces, which is crucial tactile information relevant to the perception of weight and slippage during grasps. Here, inspired by the structure of fingerprints and the selective response of Ruffini endings to friction forces, we developed a biomimetic flexible capacitive sensor to selectively detect static and sliding friction forces. The sensor is designed as a novel plane-parallel capacitor, in which silver nanowire–3D polydimethylsiloxane (PDMS) electrodes are placed in a spiral configuration and set perpendicular to the substrate. Silver nanowires are uniformly distributed on the surfaces of 3D polydimethylsiloxane microcolumns, and silicon rubber (Ecoflex®) acts as the dielectric material. The capacitance of the sensor remains nearly constant under different applied normal forces but increases with the static friction force and decreases when sliding occurs. Furthermore, aiming at the slippage perception of neuroprosthetics, a custom-designed signal encoding circuit was designed to transform the capacitance signal into a bionic pulsed signal modulated by the applied sliding friction force. Test results demonstrate the great potential of the novel biomimetic flexible sensors with directional and dynamic sensitivity of haptic force for smart neuroprosthetics.

Keywords:
Tactile sensor Neuroprosthetics Capacitive sensing Materials science Slippage SIGNAL (programming language) Capacitance Polydimethylsiloxane Dielectric elastomers Normal force Electronic skin Electrode Nanotechnology Computer science Dielectric Optoelectronics Artificial intelligence Composite material

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48
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FWCI (Field Weighted Citation Impact)
34
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0.89
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Citation History

Topics

Advanced Sensor and Energy Harvesting Materials
Physical Sciences →  Engineering →  Biomedical Engineering
Tactile and Sensory Interactions
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Muscle activation and electromyography studies
Physical Sciences →  Engineering →  Biomedical Engineering
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