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Introduction to Part II: Sensors to mHealth Markers

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Mobile Health

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Abstract

Markers of health, behaviors, and environmental risk factors that influence health and wellness represent one of the strongest new capabilities that has been enabled by the advent of mobile health. Once mobile sensor data has been transformed via computational models into mHealth markers, these markers can be used to monitor and improve health and wellness in a variety of ways.

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Authors and Affiliations

  1. Department of Computer Science, University of Memphis, Memphis, TN, USA

    Santosh Kumar

  2. College of Computing, Georgia Institute of Technology, Atlanta, GA, USA

    James M. Rehg

  3. Department of Statistics, University of Michigan, Ann Arbor, MI, USA

    Susan A. Murphy

Authors
  1. Santosh Kumar
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  2. James M. Rehg
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  3. Susan A. Murphy
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Corresponding author

Correspondence to Santosh Kumar .

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Editors and Affiliations

  1. College of Computing, Georgia Institute of Technology, Atlanta, Georgia, USA

    James M. Rehg

  2. Department of Statistics, University of Michigan, Ann Arbor, Michigan, USA

    Susan A. Murphy

  3. Department of Computer Science, University of Memphis, Memphis, Tennessee, USA

    Santosh Kumar

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© 2017 Springer International Publishing AG

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Kumar, S., Rehg, J.M., Murphy, S.A. (2017). Introduction to Part II: Sensors to mHealth Markers. In: Rehg, J., Murphy, S., Kumar, S. (eds) Mobile Health. Springer, Cham. https://doi.org/10.1007/978-3-319-51394-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-51394-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-51393-5

  • Online ISBN: 978-3-319-51394-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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