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Indoor Positioning for Visually Impaired People Based on Smartphones

  • Conference paper
Computers Helping People with Special Needs (ICCHP 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8547))

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Abstract

Autonomous navigation is a critical factor for visually impaired people. Outdoors, positioning based on ubiquitous signals is available, contrary indoors no ubiquitous navigation solution does exist. Because of the implementation of screen-reader software into mobile devices, visually impaired people start using smartphones. This paper focuses on the abilities of an indoor positioning purely based on sensors already present in smartphones nowadays. Therefore, algorithms specifically designed for low-cost sensors are developed. The outcome of these algorithms, which process the accelerometer, gyroscope, magnetometer and barometer data and a WiFi fingerprinting, is integrated within a mathematical filter to get a final position and heading information.

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References

  1. Ekahau, Helsinki, Finland (2014), www.ekahau.com

  2. Skyhook, Boston, USA (2014), www.skyhookwireless.com

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  4. Chen, D., Feng, W., Zhao, Q., Hu, M., Wang, T.: An Infrastructure-Free Indoor Navigation System for Blind People. In: Su, C.-Y., Rakheja, S., Liu, H. (eds.) ICIRA 2012, Part III. LNCS, vol. 7508, pp. 552–561. Springer, Heidelberg (2012)

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  5. Mehta, P., Kant, P., Shah, P., Roy, A.K.: VI-Navi: A Novel Indoor Navigation System for Visually Impaired People. In: International Conference on Computer Systems and Technologies, Vienna, Austria (2011)

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  6. Hafner, P., Moder, T., Wieser, M., Bernoulli, T.: Evaluation of Smartphone-based Indoor Positioning Using Different Bayes Filters. In: International Conference on Indoor Positioning and Indoor Navigation, France (2013)

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Author information

Authors and Affiliations

  1. Institute of Navigation, Graz University of Technology, Graz, Austria

    Thomas Moder, Petra Hafner & Manfred Wieser

Authors
  1. Thomas Moder
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  2. Petra Hafner
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  3. Manfred Wieser
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Editor information

Editors and Affiliations

  1. Institute “Integriert Studieren”, Johannes Kepler University, Altenbergerstr. 69,, 4040, Linz, Austria

    Klaus Miesenberger

  2. Ryerson University, 350 Victoria Street, M5B 2K3, Toronto, ON, Canada

    Deborah Fels

  3. THIM/EA 4004 CHArt, Université Paris 8 Vincennes-Saint Denis, 2 rue de la liberté, 93526, Saint-Denis Cedex, France

    Dominique Archambault

  4. Teiresias Centre, Masaryk University, Botanická 68A, 602 00, Brno, Czech Republic

    Petr Peňáz

  5. Institute “Integriert Studieren”, Vienna University of Technology, Favoritenstraße 11/029, Vienna, 1050, Austria

    Wolfgang Zagler

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© 2014 Springer International Publishing Switzerland

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Moder, T., Hafner, P., Wieser, M. (2014). Indoor Positioning for Visually Impaired People Based on Smartphones. In: Miesenberger, K., Fels, D., Archambault, D., Peňáz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2014. Lecture Notes in Computer Science, vol 8547. Springer, Cham. https://doi.org/10.1007/978-3-319-08596-8_68

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  • DOI: https://doi.org/10.1007/978-3-319-08596-8_68

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08595-1

  • Online ISBN: 978-3-319-08596-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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