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A Non-Intrusive Model for the Collection and Analysis of Data, Feedback and Needs

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Mobile Networks for Biometric Data Analysis

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 392))

Abstract

The present paper focuses on a specific aspect of research with people, and particularly with people with frailty, that is how to prevent the intrusiveness of new solutions, technologies or methodologies and how to foster and promote project innovation among the community.

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Author information

Authors and Affiliations

  1. COOSS Marche, Ancona, Italy

    Lorenza Lupini & Francesca Scocchera

Authors
  1. Lorenza Lupini
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  2. Francesca Scocchera
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Corresponding author

Correspondence to Lorenza Lupini .

Editor information

Editors and Affiliations

  1. DIBET, Università Politecnica delle Marche Dipt di Ingegneria Biomed, Elettronica e, Ancona, Italy

    Massimo Conti

  2. Informatics, Reutlingen University, Reutlingen, Germany

    Natividad Martínez Madrid

  3. Computer Science / Ubiquitous Computing Lab, HTWG Konstanz, Konstanz, Germany

    Ralf Seepold

  4. Dipartimento di Ingegneria dell'Informazione, Università Politecnica delle Marche, Ancona, Italy

    Simone Orcioni

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© 2016 Springer International Publishing Switzerland

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Lupini, L., Scocchera, F. (2016). A Non-Intrusive Model for the Collection and Analysis of Data, Feedback and Needs. In: Conti, M., Martínez Madrid, N., Seepold, R., Orcioni, S. (eds) Mobile Networks for Biometric Data Analysis. Lecture Notes in Electrical Engineering, vol 392. Springer, Cham. https://doi.org/10.1007/978-3-319-39700-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-39700-9_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39698-9

  • Online ISBN: 978-3-319-39700-9

  • eBook Packages: EngineeringEngineering (R0)

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