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Understanding Context with ContextViewer – Tool for Visualization and Initial Preprocessing of Mobile Sensors Data

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Modeling and Using Context (CONTEXT 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9405))

Abstract

Mobile context-aware systems are becoming more and more popular due to the rapid evolution of personal mobile devices. The variety of sensors that are available on such devices allow building intelligent applications that adapt automatically to user preferences and needs. Together with a growth of such self-adaptable systems, number of tools for collecting, visualising and modelling context were developed. However, there is still a need for tools and methods that will support building mobile context-aware systems at the very early stage of development. Such solutions should provide mechanisms for collecting, visualising and initial preprocessing of data to allow better understanding of processes, patterns and dynamics of mobile contextual data. In this paper we propose ContextViewer– a toolkit that aims at providing such mechanisms. It is a part of a methodology for building context-aware systems that besides ContextViewer includes also modelling methods and runtime environment for executing models.

This work was funded by the National Science Centre, Poland as a part of the KnowMe project (registration number 2014/13/N/ST6/01786).

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Notes

  1. 1.

    Exceptions here are systems that use eye tracking for user profile discovery, or EEG signal analysis for brain-computer interactions. This types of systems however, are beyond the scope of this paper.

  2. 2.

    See http://awareframework.com.

  3. 3.

    See https://weka.waikato.ac.nz/.

  4. 4.

    See http://www.processmining.org/prom/start.

  5. 5.

    See http://glados.kis.agh.edu.pl/doku.php?id=pub:software:contextsimulator:start for details.

  6. 6.

    See https://bitbucket.org/sbobek/heartdroid for details.

  7. 7.

    See http://ubidots.com/.

  8. 8.

    See https://play.google.com/store/apps/details?id=net.valarm.android.pro.

  9. 9.

    See http://nimbits.com/.

  10. 10.

    See https://freeboard.io/.

  11. 11.

    It is worth noting, that our work was has been acknowledged ad referenced on the AWARE framework website.

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Authors and Affiliations

  1. AGH University of Science and Technology, Al. A. Mickiewicza 30, 30-059, Krakow, Poland

    Szymon Bobek, Sebastian Dziadzio, Paweł Jaciów, Mateusz Ślażyński & Grzegorz J. Nalepa

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  1. Szymon Bobek
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  2. Sebastian Dziadzio
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  3. Paweł Jaciów
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  4. Mateusz Ślażyński
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  5. Grzegorz J. Nalepa
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Correspondence to Szymon Bobek .

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Editors and Affiliations

  1. Department of Computer Science, Roskilde University, Roskilde, Denmark

    Henning Christiansen

  2. ENS-Pavillon Jardin, CNRS-Institut Jean-Nicod, Paris, France

    Isidora Stojanovic

  3. Department of Computer Science, University of Cyprus, Aglantzia, Cyprus

    George A. Papadopoulos

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Bobek, S., Dziadzio, S., Jaciów, P., Ślażyński, M., Nalepa, G.J. (2015). Understanding Context with ContextViewer – Tool for Visualization and Initial Preprocessing of Mobile Sensors Data. In: Christiansen, H., Stojanovic, I., Papadopoulos, G. (eds) Modeling and Using Context. CONTEXT 2015. Lecture Notes in Computer Science(), vol 9405. Springer, Cham. https://doi.org/10.1007/978-3-319-25591-0_6

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  • DOI: https://doi.org/10.1007/978-3-319-25591-0_6

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