TU Darmstadt / ULB / TUbiblio

Indoor Localization Based on Passive Electric Field Sensing

Fu, Biying ; Kirchbuchner, Florian ; Wilmsdorff, Julian von ; Grosse-Puppendahl, Tobias ; Braun, Andreas ; Kuijper, Arjan (2017)
Indoor Localization Based on Passive Electric Field Sensing.
AmI 2017 - 13th European Conference on Ambient Intelligence. Malaga, Spain (26.04.2017-28.04.2017)
doi: 10.1007/978-3-319-56997-0_5
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (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.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2017
Autor(en): Fu, Biying ; Kirchbuchner, Florian ; Wilmsdorff, Julian von ; Grosse-Puppendahl, Tobias ; Braun, Andreas ; Kuijper, Arjan
Art des Eintrags: Bibliographie
Titel: Indoor Localization Based on Passive Electric Field Sensing
Sprache: Englisch
Publikationsjahr: 2017
Veranstaltungstitel: AmI 2017 - 13th European Conference on Ambient Intelligence
Veranstaltungsort: Malaga, Spain
Veranstaltungsdatum: 26.04.2017-28.04.2017
DOI: 10.1007/978-3-319-56997-0_5
URL / URN: https://link.springer.com/chapter/10.1007%2F978-3-319-56997-...
Kurzbeschreibung (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.

Freie Schlagworte: Indoor localization systems, Electric field sensing, Sensor technologies
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Graphisch-Interaktive Systeme
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 04 Mai 2020 12:35
Letzte Änderung: 28 Jul 2021 11:45
PPN:
Export:
Suche nach Titel in: TUfind oder in Google
Frage zum Eintrag Frage zum Eintrag

Optionen (nur für Redakteure)
Redaktionelle Details anzeigen Redaktionelle Details anzeigen