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An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint

  • Lalita Narupiyakul
  • Snit Sanghlao
  • Boonsit YimwadsanaEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10898)

Abstract

Indoor positioning and navigation have recently gained a significant increase in interest in academia due to the proliferation of smart phones, mobile devices and network services in buildings. Various techniques were introduced to achieve high performance of indoor positioning and navigation. In addition, the inventions of creative location-based service applications for mobile and Internet of Things devices for business purpose have helped push the demand for indoor positioning and navigation system to an unprecedented level. However, currently, unlike outdoor positioning system which commonly uses GPS, there is no de facto standard for indoor positioning technique and technology. Furthermore, even though there are already a number of various location-based service applications, a few of them target visually impaired users who would gain significant benefits from this technology. We propose our indoor navigation system based on RSS lateration and RF Fingerprint using Wi-Fi and Bluetooth Low Energy. The user interface is tailor-made to be suitable to the visually impaired.

Keywords

Indoor location-based positioning Navigation Visually impaired RF fingerprint RSS lateration 

Notes

Acknowledgments

This research project was supported by the Broadcasting and Telecommunications Research and Development Fund for Public Interest, Office of the National Broadcasting and Telecommunications Commission (Thailand) and partially supported by Faculty of Information and Communication Technology, Mahidol University.

References

  1. 1.
    Parkinson, B.W., Spilker J., Axelrad, P., Enge, P.: Progress in Astronautics and Aeronautics: Global Positioning System: Theory and Applications, vol. 2. AIAA (1996)Google Scholar
  2. 2.
    Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of wireless indoor positioning techniques and systems. IEEE Trans. Syst. Man Cybernet. Part C (Appl. Rev.) 37, 1067–1080 (2007)CrossRefGoogle Scholar
  3. 3.
    Ali, A.A., Omar, A.S.: Time of arrival estimation for WLAN indoor positioning systems using matrix pencil super resolution algorithm. In: Proceedings of the 2nd Workshop on Positioning, Navigation and Communication (WPNC), pp. 11–20 (2005)Google Scholar
  4. 4.
    Young, D.P., Keller, C.M., Bliss, D.W., Forsythe, K.W.: Ultra-wideband (UWB) transmitter location using time difference of arrival (TDoA) techniques. In: 37th Asilomar Conference on Signals, Systems and Computers, vol. 2, pp. 1225–1229 (2003)Google Scholar
  5. 5.
    Kumar, P., Reddy, L., Varma, S.: Distance measurement and error estimation scheme for RSSI based localization in wireless sensor networks. In: 5th IEEE Conference on Wireless Communication and Sensor Networks (WCSN), pp. 1–4 (2009)Google Scholar
  6. 6.
    Rong, P., Sichitiu, M.L.: Angle of arrival localization for wireless sensor networks. In: 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, pp. 374–382 (2006)Google Scholar
  7. 7.
    Chan, S., Sohn, G.: Indoor localization using Wi-Fi based fingerprinting and trilateration techniques for LBS applications. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-4/C26, pp. 1–5 (2012)CrossRefGoogle Scholar
  8. 8.
    Get started on Android with TalkBack. https://support.google.com/accessibility/android
  9. 9.
    Accessibility on iOS – Apple Developer. https://developer.apple.com/accessibility/ios/
  10. 10.
    Cisco Unified Wireless Location Based Services – Cisco Systems. https://www.cisco.com/en/US/docs/solutions/Enterprise/Mobility/emob30dg/Locatn.html
  11. 11.
    Dabove, P., Ghinamo, G., Lingua, A.M.: Inertial Sensors for Smartphones Navigation, Springerplus, PMC, 4:834.  https://doi.org/10.1186/s40064-015-1572-8
  12. 12.
    Basiri, A., et al.: Indoor location based services challenges, requirements and usability of current solutions. Comput. Sci. Rev. 24, 1–12 (2017)MathSciNetCrossRefGoogle Scholar
  13. 13.
    Karnik, J., Strelt, J.: Summary of available indoor location techniques. IFAC-PapersOnlione 49(25), 311–317 (2016)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Lalita Narupiyakul
    • 2
    • 3
  • Snit Sanghlao
    • 1
  • Boonsit Yimwadsana
    • 1
    • 3
    Email author
  1. 1.Faculty of Information and Communication TechnologyMahidol UniversityNakhonpathomThailand
  2. 2.Faculty of EngineeringMahidol UniversityNakhonpathomThailand
  3. 3.Integrative Computational BioScience Center, Office of the PresidentMahidol UniversityNakhonpathomThailand

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