Article

 

Intelligent RF-Based Gesture Input Devices Implemented Using e-Textiles. Public Deposited

https://scholar.colorado.edu/concern/articles/r781wg67z
Abstract
  • We present an radio-frequency (RF)-based approach to gesture detection and recognition, using e-textile versions of common transmission lines used in microwave circuits. This approach allows for easy fabrication of input swatches that can detect a continuum of finger positions and similarly basic gestures, using a single measurement line. We demonstrate that the swatches can perform gesture detection when under thin layers of cloth or when weatherproofed, providing a high level of versatility not present with other types of approaches. Additionally, using small convolutional neural networks, low-level gestures can be identified with a high level of accuracy using a small, inexpensive microcontroller, allowing for an intelligent fabric that reports only gestures of interest, rather than a simple sensor requiring constant surveillance from an external computing device. The resulting e-textile smart composite has applications in controlling wearable devices by providing a simple, eyes-free mechanism to input simple gestures.
Creator
Date Issued
  • 2017-01-24
Academic Affiliation
Journal Title
Journal Issue/Number
  • 2
Journal Volume
  • 17
Subject
Last Modified
  • 2019-12-06
Identifier
  • PubMed ID: 28125010
Resource Type
Rights Statement
DOI
ISSN
  • 1424-8220
Language
License

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