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Classification of user positioning techniques and systems for intelligent environments

dc.contributor.authorWagner, Benjamin
dc.contributor.authorTimmermann, Dirk
dc.contributor.editorGoltz, Ursula
dc.contributor.editorMagnor, Marcus
dc.contributor.editorAppelrath, Hans-Jürgen
dc.contributor.editorMatthies, Herbert K.
dc.contributor.editorBalke, Wolf-Tilo
dc.contributor.editorWolf, Lars
dc.date.accessioned2018-11-06T10:58:23Z
dc.date.available2018-11-06T10:58:23Z
dc.date.issued2012
dc.description.abstractOne of the most important observation parameters for smart environments and ambient intelligence is the position of users. Over the last years huge research efforts have been spent on new algorithms, technologies, and systems for the localization of users and objects. The spread of these technologies results in a wide range of application scenarios and manifold combinations of measurements and algorithms. One fundamental task in designing smart environments is the choice of a localization system which fits into the ambient infrastructure, is applicable to the underlying application scenario, and provides localization results in desired form and accuracy. At this stage, it is very difficult to compare the published systems in order to opt for a specific solution. In this work existing systems and techniques are evaluated and documented under different characteristics facing two goals. The first one is to give an overview about the state of the art of user localization techniques and secondly to make these techniques comparable in order to fit the right technique to a given application. Therefore, intrinsic system characteristics are documented.en
dc.identifier.isbn978-3-88579-602-2
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17857
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2012
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-208
dc.titleClassification of user positioning techniques and systems for intelligent environmentsen
dc.typeText/Conference Paper
gi.citation.endPage548
gi.citation.publisherPlaceBonn
gi.citation.startPage537
gi.conference.date16.-21. September 2012
gi.conference.locationBraunschweig
gi.conference.sessiontitleRegular Research Papers

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