A Self-Powered Tactile Sensing Interface For Human-Machine Interaction

  • Yuyang Sun
  • , Hanyang Li
  • , Kaiyao Wang
  • , Xiaowei Feng
  • , Cheng Hou
  • , Tao Chen
  • , Huicong Liu*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human-machine interfaces (HMIs) are the critical platforms for achieving effective and intuitive operations and control tasks between the user and machine. In this work, we propose a self-powered tactile sensing interface (STI) based on an array of bilayer single-electrode triboelectric nanogenerator (TENG) units. For each TENG unit, a pair of innovative, flexible materials, i.e., PET-PDMS and PTFE-PDMS, are arranged in a mosaic pattern, which can serialize the signal peaks and valleys, thus realizing the encoding of tactile sensing information and optimization of the wiring layout. This self-powered, signal-serialized and neatly wired STI can demonstrate the control of intelligent vehicles by detecting touch events.

Original languageEnglish
Title of host publication2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1727-1730
Number of pages4
ISBN (Electronic)9784886864352
StatePublished - 2023
Externally publishedYes
Event22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023 - Kyoto, Japan
Duration: 25 Jun 202329 Jun 2023

Publication series

Name2023 22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023

Conference

Conference22nd International Conference on Solid-State Sensors, Actuators and Microsystems, Transducers 2023
Country/TerritoryJapan
CityKyoto
Period25/06/2329/06/23

Keywords

  • Human-machine interface
  • self-powered
  • signal-serializing
  • triboelectric nanogenerator

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