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Impact of External Parameters on the Gait Recognition Using a Smartphone

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Information Systems Security and Privacy (ICISSP 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 576))

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Abstract

This paper identifies possible impacts of a couple of external parameters on gait recognition when a build-in smartphone accelerometer is used. Some parameters like the types of shoes impact gait recognition significantly while others like the type of surfaces has only a minor impact. A correlation between accelerometer’s data and the phone position was identified. For this, data originating from the Z-axis as well as from the X-Y-Z – axes was used together with Dynamic Time Warping (DTW) for template generation and matching tests.

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Author information

Authors and Affiliations

  1. School of Computing and Mathematics, Plymouth University, Plymouth, UK

    Josselyn Le Moing & Ingo Stengel

Authors
  1. Josselyn Le Moing
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  2. Ingo Stengel
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Corresponding author

Correspondence to Josselyn Le Moing .

Editor information

Editors and Affiliations

  1. MODESTE/ESEO, Angers, France

    Olivier Camp

  2. SBA Research, Wien, Austria

    Edgar Weippl

  3. Supélec, Cesson, France

    Christophe Bidan

  4. Université de Montréal, Montreal, Québec, Canada

    Esma Aïmeur

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Le Moing, J., Stengel, I. (2015). Impact of External Parameters on the Gait Recognition Using a Smartphone. In: Camp, O., Weippl, E., Bidan, C., Aïmeur, E. (eds) Information Systems Security and Privacy. ICISSP 2015. Communications in Computer and Information Science, vol 576. Springer, Cham. https://doi.org/10.1007/978-3-319-27668-7_13

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  • DOI: https://doi.org/10.1007/978-3-319-27668-7_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27667-0

  • Online ISBN: 978-3-319-27668-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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