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Title:      GENERATING HIGH LEVEL CONTEXT FROM SENSOR DATA FOR MOBILE APPLICATIONS
Author(s):      Wolfgang Woerndl , Christian Schueller , Thomas Rottach
ISBN:      978-972-8924-40-9
Editors:      Jörg Roth, Jairo Gutiérrez and Ajith P. Abraham (series editors: Piet Kommers, Pedro Isaías and Nian-Shing Chen)
Year:      2007
Edition:      Single
Keywords:      Context, context-awareness, sensor data, mobile applications, learning classifiers
Type:      Short Paper
First Page:      158
Last Page:      164
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      Context-awareness is an important element for developing mobile services. Often, context is available as sensor data but not in a form that can be exploited in (mobile) applications. In this paper, we present an approach to generate high level context from sensor data. First, we describe and illustrate a process model and then we explain the design and implementation of software components that are integrated in a framework supporting the development of mobile applications. Thus, we demonstrate the evolution of sensor data from raw data streams to aggregated data and to interpreted information.
   

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