Smart Textile Using 3D Printed Conductive Sequins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose the design and implementation of a smart textile using conductive sequins produced by a 3D printer based on traditional sequin embroidery. The well-designed conductive sequin smart textile, referred to as traditional sequin embroidery of various designs and diverse embroidery techniques, can break through the limitations of sequin fabric in its vertex modeling capability to create vertex-like sequins. Using conductive and non-conductive resins, we printed out two types of sequins using a 3D printer1, which are then combined and embroidered using the traditional sequin embroidery technique. When a force such as a touch or press is applied to the conductive sequins, a signal generated from the circuit, which those sequins themselves are part of, will be sent to the computer. The computer can visualize the electric signals of this textile and sense the changes in the state of the textile.

Original languageEnglish
Title of host publicationTEI 2022 - Proceedings of the 16th International Conference on Tangible, Embedded, and Embodied Interaction
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450391474
DOIs
Publication statusPublished - 2022 Feb 13
Event16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022 - Virtual, Online, Korea, Republic of
Duration: 2022 Feb 132022 Feb 16

Publication series

NameACM International Conference Proceeding Series

Conference

Conference16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period22/2/1322/2/16

Keywords

  • conductive material
  • data-input device
  • interactive fabrics
  • sensing interface
  • sequins embroidery
  • smart textiles
  • wearable device

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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