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On Open Source Mobile Sensing

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8638))

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Abstract

The paper discusses phone as a sensor model. For many applied tasks smart phones are an ideal platform for collecting and processing context-related data. The most popular example is, probably, computational social science. Phones can collect data for conducting various social researches about people’s social behavior. This paper presents an attempt to describe and categorize existing open source libraries for mobile sensing, describe architecture and design patterns as well as discover directions for the future development.

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Author information

Authors and Affiliations

  1. Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia

    Dmitry Namiot

  2. M2M Competence Center, ZNIIS, Moscow, Russia

    Manfred Sneps-Sneppe

Authors
  1. Dmitry Namiot
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  2. Manfred Sneps-Sneppe
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Editor information

Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B,, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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Namiot, D., Sneps-Sneppe, M. (2014). On Open Source Mobile Sensing. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2014. Lecture Notes in Computer Science, vol 8638. Springer, Cham. https://doi.org/10.1007/978-3-319-10353-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-10353-2_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10352-5

  • Online ISBN: 978-3-319-10353-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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