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Platypus - Indoor Localization and Identification through Sensing Electric Potential Changes in Human Bodies

Große-Puppendahl, Tobias ; Dellangnol, Xavier ; Hatzfeld, Christian ; Fu, Biying ; Kupnik, Mario ; Kuijper, Arjan ; Hastall, Matthias R. ; Scott, James ; Gruteser, Marco (2016)
Platypus - Indoor Localization and Identification through Sensing Electric Potential Changes in Human Bodies.
The 14th ACM International Conference on Mobile Systems, Applications, and Services. Singapore
doi: 10.1145/2906388.2906402
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

Platypus is the first system to localize and identify people by remotely and passively sensing changes in their body electric potential which occur naturally during walking. While it uses three or more electric potential sensors with a maximum range of 2 m, as a tag-free system it does not require the user to carry any special hardware. We describe the physical principles behind body electric potential changes, and a predictive mathematical model of how this affects a passive electric field sensor. By inverting this model and combining data from sensors, we infer a method for localizing people and experimentally demonstrate a median localization error of 0.16m. We also use the model to remotely infer the change in body electric potential with a mean error of 8.8 compared to direct contact-based measurements. We show how the reconstructed body electric potential differs from person to person and thereby how to perform identification. Based on short walking sequences of 5 s, we identify four users with an accuracy of 94 , and 30 users with an accuracy of 75. We demonstrate that identification features are valid over multiple days, though change with footwear.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2016
Autor(en): Große-Puppendahl, Tobias ; Dellangnol, Xavier ; Hatzfeld, Christian ; Fu, Biying ; Kupnik, Mario ; Kuijper, Arjan ; Hastall, Matthias R. ; Scott, James ; Gruteser, Marco
Art des Eintrags: Bibliographie
Titel: Platypus - Indoor Localization and Identification through Sensing Electric Potential Changes in Human Bodies
Sprache: Englisch
Publikationsjahr: 2016
Verlag: ACM, New York
Veranstaltungstitel: The 14th ACM International Conference on Mobile Systems, Applications, and Services
Veranstaltungsort: Singapore
DOI: 10.1145/2906388.2906402
Kurzbeschreibung (Abstract):

Platypus is the first system to localize and identify people by remotely and passively sensing changes in their body electric potential which occur naturally during walking. While it uses three or more electric potential sensors with a maximum range of 2 m, as a tag-free system it does not require the user to carry any special hardware. We describe the physical principles behind body electric potential changes, and a predictive mathematical model of how this affects a passive electric field sensor. By inverting this model and combining data from sensors, we infer a method for localizing people and experimentally demonstrate a median localization error of 0.16m. We also use the model to remotely infer the change in body electric potential with a mean error of 8.8 compared to direct contact-based measurements. We show how the reconstructed body electric potential differs from person to person and thereby how to perform identification. Based on short walking sequences of 5 s, we identify four users with an accuracy of 94 , and 30 users with an accuracy of 75. We demonstrate that identification features are valid over multiple days, though change with footwear.

Freie Schlagworte: Guiding Theme: Smart City, Research Area: Human computer interaction (HCI), Research Area: Modeling (MOD), Capacitive sensors, Indoor localization systems, Human action recognition, Feature classifications
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing
Hinterlegungsdatum: 07 Mai 2019 09:38
Letzte Änderung: 07 Mai 2019 09:38
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