Literature DB >> 33141753

A skin-inspired tactile sensor for smart prosthetics.

Yuanzhao Wu1,2,3, Yiwei Liu4,2, Youlin Zhou1,2, Qikui Man1,2, Chao Hu1,2, Waqas Asghar1,2,3, Fali Li1,2,3, Zhe Yu1,2,3, Jie Shang1,2, Gang Liu1,2, Meiyong Liao5, Run-Wei Li4,2.   

Abstract

Recent achievements in the field of electronic skin have provided promising technology for prosthetic systems. However, the development of a bionic tactile-perception system that exhibits integrated stimuli sensing and neuron-like information-processing functionalities in a low-pressure regime remains a challenge. Here, we demonstrate a tactile sensor for smart prosthetics based on giant magneto-impedance (GMI) material embedded with an air gap. The sensor exhibits a high sensitivity of 120 newton-1 (or 4.4 kilopascal-1) and a very low detection limit of 10 micronewtons (or 0.3 pascals). The integration of the tactile sensor with an inductance-capacitance (LC) oscillation circuit enabled direct transduction of force stimuli into digital-frequency signals. The frequency increased with the force stimuli, consistent with the relationship between stimuli and human responses. The minimum loading of 50 micronewtons (or 1.25 pascals), which is less than the sensing threshold value of human skin, was also encoded into the frequency, similar to the pulse waveform of humans. The proposed tactile sensor not only showed desirable sensitivity and low detection limit but also exhibited transduction of digital-frequency signals like human stimuli responses. These features of the GMI-based tactile sensor show potential for its applications in smart prosthetics, especially prosthetic limbs that can functionally replace natural limbs.
Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Entities:  

Year:  2018        PMID: 33141753     DOI: 10.1126/scirobotics.aat0429

Source DB:  PubMed          Journal:  Sci Robot        ISSN: 2470-9476


  19 in total

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