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Modern Approaches for Intelligent Information and Database Systems pp 435–443Cite as

Path Estimation from Smartphone Sensors

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 769))

Abstract

Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings. Global Navigation Satellite System (GNSS) was commonly used in outdoor environment, but if we are in a building GNSSs are unusable. This is mainly because of multipath propagation which can cause huge localization errors. Therefore, many research teams have started to develop different systems for location estimation in indoor environment. In this work, we proposed position estimation system based on inertial sensors in smartphone with average accuracy below 0.6 m.

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Acknowledgements

This work was partially supported by the Slovak VEGA grant agency, Project No. 1/0263/16 and by project “Smart Solutions for Ubiquitous Computing Environments” FIM, University of Hradec Kralove, Czech Republic (under ID: UHK-FIM-SP-2018).

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Authors and Affiliations

  1. FEE, Department of Multimedia and Information-Communication Technologies, University of Zilina, Univerzitna 1, 010 26, Zilina, Slovakia

    Jan Racko, Peter Brida & Juraj Machaj

  2. Faculty of Informatics and Management, University of Hradec Králové, Rokitanského 62, 500 03, Hradec Králové, Czech Republic

    Ondrej Krejcar

Authors
  1. Jan Racko
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  2. Peter Brida
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  3. Juraj Machaj
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  4. Ondrej Krejcar
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Corresponding author

Correspondence to Peter Brida .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Andrzej Sieminski

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Adrianna Kozierkiewicz

  3. Department of Information Systems and Computing, Complutense University of Madrid, Madrid, Spain

    Manuel Nunez

  4. Faculty of Information Technology, Vietnam National University, Hanoi, Vietnam

    Quang Thuy Ha

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Racko, J., Brida, P., Machaj, J., Krejcar, O. (2018). Path Estimation from Smartphone Sensors. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_37

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  • DOI: https://doi.org/10.1007/978-3-319-76081-0_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76080-3

  • Online ISBN: 978-3-319-76081-0

  • eBook Packages: EngineeringEngineering (R0)

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