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Step Count and Classification Using Sensor Information Fusion

  • Ricardo AnacletoEmail author
  • Lino Figueiredo
  • Ana Almeida
  • Paulo Novais
  • António Meireles
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 376)

Abstract

In order to suppress the GNSS (Global Navigation Satellite System) limitation to track persons in indoor or in dense environments, a pedestrian inertial navigation system can be used. However, this type of systems have huge location estimation errors due to the Pedestrian Dead Reckoning (PDR) characteristics and the use of low-cost inertial sensors. To suppress some of these errors we propose a system that uses several sensors spread in person’s body combined with information fusion techniques. Information fusion techniques provide lighter algorithms implementations, to count and classify the type of step, to run in mobile devices. Thus, improving pedestrian inertial navigation systems accuracy.

Keywords

Pedestrian inertial navigation system Step count Information fusion Dynamic time warping 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ricardo Anacleto
    • 1
    Email author
  • Lino Figueiredo
    • 1
  • Ana Almeida
    • 1
  • Paulo Novais
    • 2
  • António Meireles
    • 1
  1. 1.GECAD—Knowledge Engineering and Decision Support Research CenterSchool of Engineering—Polytechnic of PortoPortoPortugal
  2. 2.CCTC—Computer Science and Technology CenterUniversity of MinhoBragaPortugal

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