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A Focus on Location Context

Aitenbichler, Erwin
Hrsg.: Gurevych, Iryna ; Mühlhäuser, Max (2008)
A Focus on Location Context.
In: Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises
doi: 10.4018/978-1-59904-832-1.ch012
Buchkapitel, Bibliographie

Kurzbeschreibung (Abstract)

This chapter adds an in-depth description of location context, because location is the most prominent context property and the associated tracking technology is increasingly deployed in industry. First, we motivate a number of application areas for this technology in industry, healthcare, tourism, and more. We first describe the different physical properties location sensors can measure and then the principles and algorithms to calculate the locations of mobile entities based on this sensor data. Several commercial location systems and research prototypes are described as implementation examples. Finally, with the help of location models, the raw location information is processed to derive higher-level information meaningful to application services.

Typ des Eintrags: Buchkapitel
Erschienen: 2008
Herausgeber: Gurevych, Iryna ; Mühlhäuser, Max
Autor(en): Aitenbichler, Erwin
Art des Eintrags: Bibliographie
Titel: A Focus on Location Context
Sprache: Englisch
Publikationsjahr: 2008
Ort: Hershey
Verlag: Information Science Reference
Titel der Zeitschrift, Zeitung oder Schriftenreihe: Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises
Buchtitel: Handbook of Research on Ubiquitous Computing Technology for Real Time Enterprises
DOI: 10.4018/978-1-59904-832-1.ch012
URL / URN: https://www.igi-global.com/chapter/focus-location-context/21...
Kurzbeschreibung (Abstract):

This chapter adds an in-depth description of location context, because location is the most prominent context property and the associated tracking technology is increasingly deployed in industry. First, we motivate a number of application areas for this technology in industry, healthcare, tourism, and more. We first describe the different physical properties location sensors can measure and then the principles and algorithms to calculate the locations of mobile entities based on this sensor data. Several commercial location systems and research prototypes are described as implementation examples. Finally, with the help of location models, the raw location information is processed to derive higher-level information meaningful to application services.

Freie Schlagworte: - SE - Area Smart Environments, - SE: Mundo-IRIS
ID-Nummer: TUD-CS-2008-11477
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Telekooperation
20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung
Hinterlegungsdatum: 31 Dez 2016 12:59
Letzte Änderung: 27 Jul 2021 12:19
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