179
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The auditory system is the most efficient and straightforward communication strategy for connecting human beings and robots. Here, we designed a self-powered triboelectric auditory sensor (TAS) for constructing an electronic auditory system and an architecture for an external hearing aid in intelligent robotic applications. Based on newly developed triboelectric nanogenerator (TENG) technology, the TAS showed ultrahigh sensitivity (110 millivolts/decibel). A TAS with the broadband response from 100 to 5000 hertz was achieved by designing the annular or sectorial inner boundary architecture with systematic optimization. When incorporated with intelligent robotic devices, TAS demonstrated high-quality music recording and accurate voice recognition for realizing intelligent human-robot interaction. Furthermore, the tunable resonant frequency of TAS was achieved by adjusting the geometric design of inner boundary architecture, which could be used to amplify a specific sound wave naturally. On the basis of this unique property, we propose a hearing aid with the TENG technique, which can simplify the signal processing circuit and reduce the power consuming. This work expresses notable advantages of using TENG technology to build a new generation of auditory systems for meeting the challenges in social robotics.

          Related collections

          Author and article information

          Journal
          Science Robotics
          Sci. Robot.
          American Association for the Advancement of Science (AAAS)
          2470-9476
          July 25 2018
          July 25 2018
          July 25 2018
          July 25 2018
          : 3
          : 20
          : eaat2516
          Article
          10.1126/scirobotics.aat2516
          33141730
          5953fbc4-9104-4166-a0b1-9f25ccf37c48
          © 2018

          http://www.sciencemag.org/about/science-licenses-journal-article-reuse

          History

          Comments

          Comment on this article