Person Localization Using Sensor Information Fusion

  • Ricardo AnacletoEmail author
  • Lino Figueiredo
  • Ana Almeida
  • Paulo Novais
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 291)


Nowadays the incredible grow of mobile devices market led to the need for location-aware applications. However, sometimes person location is difficult to obtain, since most of these devices only have a GPS (Global Positioning System) chip to retrieve location. In order to suppress this limitation and to provide location everywhere (even where a structured environment doesn’t exist) a wearable inertial navigation system is proposed, which is a convenient way to track people in situations where other localization systems fail. The system combines pedestrian dead reckoning with GPS, using widely available, low-cost and low-power hardware components. The system innovation is the information fusion and the use of probabilistic methods to learn persons gait behavior to correct, in real-time, the drift errors given by the sensors.


Pedestrian Navigation System Inertial Navigation System Indoor Location GPS Probabilistic Algorithms 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ricardo Anacleto
    • 1
    Email author
  • Lino Figueiredo
    • 1
  • Ana Almeida
    • 1
  • Paulo Novais
    • 2
  1. 1.GECAD - Knowledge Engineering and Decision Support Research Center, School of EngineeringPolytechnic of PortoPortoPortugal
  2. 2.CCTC/Informatics DepartmentUniversity of MinhoBragaPortugal

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