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Related Experiment Videos

Integrated microelectronics for smart textiles.

Christl Lauterbach1, Rupert Glaser, Domnic Savio

  • 1Infineon Technologies AG, Corporate Research, Munich, Germany.

Studies in Health Technology and Informatics
|November 12, 2005
PubMed
Summary

This study presents a novel smart textile technology integrating microelectronics into fabrics. This creates self-organizing, fault-tolerant networks for ambient intelligence applications with low implementation costs.

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Area of Science:

  • Textile Engineering
  • Microelectronics
  • Ambient Intelligence

Background:

  • Integrating microelectronics with textiles enables new applications like ambient intelligence.
  • Conductive fibers in fabrics can serve as a textile motherboard for sensor/actuator networks.
  • Fabricating large active areas with integrated electronics is a key challenge.

Purpose of the Study:

  • To describe an integration technology for fabricating smart textiles.
  • To develop a wired peer-to-peer network of microcontrollers with integrated sensors/actuators within textiles.
  • To achieve a self-organizing and fault-tolerant network architecture.

Main Methods:

  • Development of a smart textile using conductive fibers as a motherboard.
  • Implementation of a wired peer-to-peer network of microcontrollers with sensors/actuators.

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  • Creation of a self-organizing architecture that detects network shape and reroutes data.
  • Main Results:

    • A self-organizing and fault-tolerant smart textile network architecture was successfully developed.
    • The network automatically detects its physical shape and circumvents defective areas.
    • The technology enables reel-to-reel production, arbitrary cutting, and low-cost system implementation.

    Conclusions:

    • Smart textiles with integrated microelectronics offer versatile applications, from alarm systems to smart wallpaper.
    • The developed technology facilitates large-scale, adaptable, and cost-effective smart textile production.
    • This advancement paves the way for widespread adoption of ambient intelligence in everyday objects.