On Open Source Mobile Sensing

  • Dmitry Namiot
  • Manfred Sneps-Sneppe
Conference paper

DOI: 10.1007/978-3-319-10353-2_8

Volume 8638 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
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

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.

Keywords

Smartphone sensing open source data mining 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Dmitry Namiot
    • 1
  • Manfred Sneps-Sneppe
    • 2
  1. 1.Faculty of Computational Mathematics and CyberneticsLomonosov Moscow State UniversityMoscowRussia
  2. 2.M2M Competence CenterZNIISMoscowRussia