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Ambient Intelligence - Software and Applications pp 115–123Cite as

Opportunistic Sensoring Using Mobiles for Tracking Users in Ambient Intelligence

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 376))

Abstract

The necessity of using new technologies to monitoring elderly people in open-air environments by their caregivers has become a priority in the last years. In this direction, Ambient Intelligence (AmI) provides useful mechanisms and the geo-localization technologies embedded in smartphones allows tracking elderly people through opportunistic sensoring. The aim of this paper is to show a practical example to how to combine some technologies for monitoring elderly people through the system SafeRoute. We describe the two components of this system: the Android application CareofMe and the web system SafeRoute. The proposed system uses GPS, Wifi and accelerometer sensoring, GoogleMaps functionalities in Android and web environments and an alert system for caregivers.

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Author information

Authors and Affiliations

  1. Institute of Computing, IC. Fluminense Federal University, Rua Passo da Pátria, São Domingos, Niterói, Rio de Janeiro, Brazil

    Javier Jiménez Alemán

  2. ADDLabs. Documentation Active and Intelligent Design Laboratory of Institute of Computing, Fluminense Federal University, Av. Gal.Milton Tavares de Souza. Boa Viagem, Niterói, Rio de Janeiro, Brazil

    Nayat Sanchez-Pi & Ana Cristina Bicharra Garcia

Authors
  1. Javier Jiménez Alemán
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  2. Nayat Sanchez-Pi
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  3. Ana Cristina Bicharra Garcia
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Corresponding author

Correspondence to Javier Jiménez Alemán .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering Department, Qatar University, College of Engineering, Doha, Qatar

    Amr Mohamed

  2. Departamento de Informatica, ALGORITMI Centre, University of Minho, Braga, Portugal

    Paulo Novais

  3. Escola Superior de Tecnologia e Gestäo de Leiria, Instituto Politécnico de Leiria, Leiria, Portugal

    António Pereira

  4. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Gabriel Villarrubia González

  5. Departamento de Sistemas Informáticos, University of Castilla-La Mancha, Albacete, Spain

    Antonio Fernández-Caballero

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© 2015 Springer International Publishing Switzerland

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Alemán, J.J., Sanchez-Pi, N., Garcia, A.C.B. (2015). Opportunistic Sensoring Using Mobiles for Tracking Users in Ambient Intelligence. In: Mohamed, A., Novais, P., Pereira, A., Villarrubia González, G., Fernández-Caballero, A. (eds) Ambient Intelligence - Software and Applications. Advances in Intelligent Systems and Computing, vol 376. Springer, Cham. https://doi.org/10.1007/978-3-319-19695-4_12

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  • DOI: https://doi.org/10.1007/978-3-319-19695-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19694-7

  • Online ISBN: 978-3-319-19695-4

  • eBook Packages: EngineeringEngineering (R0)

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