Object Identification with Smart Glove Assembled by Pressure Sensors

  • Tianyi Fan
  • , Zheyu Liu
  • , Xiyue Tian
  • , Junda Li
  • , Jin Yang
  • , Chaolun Wang
  • , Hengchang Bi
  • , Fei Qiao*
  • , Xing Wu*
  • , Junhao Chu
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

The study and replication of human sensory abilities, such as visual, auditory, and tactile perception, depends on the availability of integrating electronics into flexible materials. Much previous research on pressure sensing films has a lack of flexibilities in its products and cannot be well applied to wearable device. In this letter, we first prepare Graphene-VSe2-Ecoflex sponge, and then fabricate highly compressible Graphene-VSe2-Ecoflex pressure sensors using this sponge, and finally construct an innovative glove with this highly compressible pressure sensor array. The Graphene-VSe2-Ecoflex pressure sensor sustains high strain up to 85%. The sensor retains a good linearity performance under the cycling test. Moreover, the glove can identify and manipulate subjects at an over 89% recognition rate after trained by neural networks. The realization of the smart object identification glove may provide a new strategy for applying flexible devices to intelligent sensing systems.

Original languageEnglish
JournalIEEE Sensors Letters
Volume5
Issue number10
DOIs
StatePublished - 1 Oct 2021

Keywords

  • Sensor systems
  • artificial intelligence
  • graphene
  • object identification
  • pressure sensors

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