Collecting Human Habit Datasets for Smart Spaces Through Gamification and Crowdsourcing

  • Giovanni Cucari
  • Francesco Leotta
  • Massimo Mecella
  • Stavros Vassos
Conference paper

DOI: 10.1007/978-3-319-40216-1_22

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9599)
Cite this paper as:
Cucari G., Leotta F., Mecella M., Vassos S. (2016) Collecting Human Habit Datasets for Smart Spaces Through Gamification and Crowdsourcing. In: De Gloria A., Veltkamp R. (eds) Games and Learning Alliance. GALA 2015. Lecture Notes in Computer Science, vol 9599. Springer, Cham

Abstract

A lot of research in the last years has focused on smart spaces, covering aspects related to ambient intelligence, activity monitoring and mining, etc. All these efforts require datasets to be used for experimental purposes and as benchmarks for novel techniques. Such datasets are today difficult to obtain as, on the one hand, building smart facilities is expensive, requiring considerable costs for maintenance and extension, and, on the other hand, freely available datasets are scarce, not continuously updated and contain a limited set of sensors, thus not allowing the evaluation of algorithms that require the availability of specific categories of sensors. To this aim, we have built a prototype smart virtual environment producing sensor logs on the basis of activities performed by users as if they were really acting in a physical smart space.

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Giovanni Cucari
    • 1
  • Francesco Leotta
    • 1
  • Massimo Mecella
    • 1
  • Stavros Vassos
    • 1
  1. 1.Dipartimento di Ingegneria Informatica, Automatica e GestionaleSapienza Università di RomaRomeItaly

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