• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Indoor localization based on passive electric field sensing
 
  • Details
  • Full
Options
2017
Conference Paper
Title

Indoor localization based on passive electric field sensing

Abstract
The ability to perform accurate indoor positioning opens a wide range of opportunities, including smart home applications and location-based services. Smart floors are a well-established technology to enable marker-free indoor localization within an instrumented environment. Typically, they are based on pressure sensors or varieties of capacitive sensing. These systems, however, are often hard to deploy as mechanical or electrical features are required below the surface. They might also have a limited range or not be compatible with different floor materials. In this paper, we present a novel indoor positioning system using an uncommon form of passive electric field sensing, which detects the change in body electric potential during movement. It is easy to install by deploying a grid of passive wires underneath any non-conductive floor surface. The proposed architecture achieves a high position accuracy and an excellent spatial resolution. In our evaluation, we measure a mean positioning error of only 12.7 cm. The proposed system also combines the advantages of very low power consumption, easy installation, easy maintenance, and the preservation of privacy.
Author(s)
Fu, Biying  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kirchbuchner, Florian  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Wilmsdorff, Julian von  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Große-Puppendahl, Tobias
Microsoft Research, UK
Braun, Andreas
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kuijper, Arjan  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
Ambient Intelligence. 13th European Conference, AmI 2017  
Conference
European Conference on Ambient Intelligence (AmI) 2017  
DOI
10.1007/978-3-319-56997-0_5
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • indoor localization systems

  • electric field sensing

  • sensor technology

  • Lead Topic: Individual Health

  • Lead Topic: Smart City

  • Research Line: Computer vision (CV)

  • Research Line: Human computer interaction (HCI)

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024