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Human-Activity Recognition with Smartphone Sensors

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On the Move to Meaningful Internet Systems: OTM 2019 Workshops (OTM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11878))

Abstract

The aim of the Human-Activity Recognition (HAR) is to identify the actions carried out by an individual given a data set of parameters recorded by sensors. Successful HAR research has focused on the recognition of relatively simple activities, as sitting or walking and its applications are mainly useful in the fields of healthcare, tele-immersion or fitness tracking. One of the most affordable ways to recognize human activities is to make use of smartphones. This paper draws a comparison line between several ways of processing and training the data provided by smartphone sensors, in order to achieve an accurate score when recognizing the user’s activity.

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Author information

Authors and Affiliations

  1. Babeș-Bolyai University, Cluj-Napoca, Romania

    Dănuț Ilisei & Dan Mircea Suciu

Authors
  1. Dănuț Ilisei
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  2. Dan Mircea Suciu
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Corresponding author

Correspondence to Dan Mircea Suciu .

Editor information

Editors and Affiliations

  1. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  2. University of Lorraine, Nancy, France

    Hervé Panetto

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  4. Maastricht University, Maastricht, The Netherlands

    Peter Bollen

  5. Babes-Bolyai University, Cluj-Napoca, Romania

    Ioana Ciuciu

  6. University of Maryland, Baltimore County (UMBC), Baltimore, MD, USA

    George Karabatis

  7. Graz University of Technology, Graz, Austria

    Robert Meersman

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Ilisei, D., Suciu, D.M. (2020). Human-Activity Recognition with Smartphone Sensors. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems: OTM 2019 Workshops. OTM 2019. Lecture Notes in Computer Science(), vol 11878. Springer, Cham. https://doi.org/10.1007/978-3-030-40907-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-40907-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40906-7

  • Online ISBN: 978-3-030-40907-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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