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Collaborative Context Recognition for Mobile Devices

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Handbook of Ambient Intelligence and Smart Environments

Abstract

The next wave of mobile applications is at hand. Mobile phones, PDAs, cameras, music players, and gaming gadgets are creating a connected mobile ecosystem where it is possible to implement systems with significant embedded intelligence. Such advances will make it possible to move many functions of the current PC-centric applications to the mobile domain. Since the inherent difficulties that come with mobility—limited UIs, short attention spans, power dependency, intermittent connectivity, to name but a few—are still not going away, new solutions are needed to make mobile computing satisfactory. We are facing the paradox of cramming ever more functions into our ever more portable devices, while seeking to achieve radically better usablility and semi-usable automated intelligence.

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Authors and Affiliations

  1. Nokia Research Center, Visiokatu 1, 33720, Tampere, Finland

    Pertti Huuskonen

  2. VTT Technical Research Centre of Finland, Kaitoväylä 1, 90571, Oulu, Finland

    Jani Mäntyjärvi & Ville Könönen

Authors
  1. Pertti Huuskonen
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  2. Jani Mäntyjärvi
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  3. Ville Könönen
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Corresponding authors

Correspondence to Pertti Huuskonen , Jani Mäntyjärvi or Ville Könönen .

Editor information

Editors and Affiliations

  1. Future University Hakodate, Kameda-Nakano 116-2, Hakodate, Hokkaido, 041-8655, Japan

    Hideyuki Nakashima

  2. Department of Electrical Engineering, Stanford University, 350 Serra Mall, Stanford, CA, 94305-9515, USA

    Hamid Aghajan

  3. School of Computing & Mathematics, University of Ulster at Jordanstown, Shore Road, Newtownabbey, Co. Antrim, UK, BT37 0QB

    Juan Carlos Augusto

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Huuskonen, P., Mäntyjärvi, J., Könönen, V. (2010). Collaborative Context Recognition for Mobile Devices. In: Nakashima, H., Aghajan, H., Augusto, J.C. (eds) Handbook of Ambient Intelligence and Smart Environments. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-93808-0_10

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  • DOI: https://doi.org/10.1007/978-0-387-93808-0_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-0-387-93807-3

  • Online ISBN: 978-0-387-93808-0

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