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

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Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living (ICOST 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10898))

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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.

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References

  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. 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)

    Article  Google Scholar 

  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. 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. 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. 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. 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)

    Article  Google Scholar 

  8. Get started on Android with TalkBack. https://support.google.com/accessibility/android

  9. Accessibility on iOS – Apple Developer. https://developer.apple.com/accessibility/ios/

  10. Cisco Unified Wireless Location Based Services – Cisco Systems. https://www.cisco.com/en/US/docs/solutions/Enterprise/Mobility/emob30dg/Locatn.html

  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. Basiri, A., et al.: Indoor location based services challenges, requirements and usability of current solutions. Comput. Sci. Rev. 24, 1–12 (2017)

    Article  MathSciNet  Google Scholar 

  13. Karnik, J., Strelt, J.: Summary of available indoor location techniques. IFAC-PapersOnlione 49(25), 311–317 (2016)

    Article  Google Scholar 

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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.

Author information

Authors and Affiliations

  1. Faculty of Information and Communication Technology, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Phuttamonthon, Nakhonpathom, 73170, Thailand

    Snit Sanghlao & Boonsit Yimwadsana

  2. Faculty of Engineering, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Phuttamonthon, Nakhonpathom, 73170, Thailand

    Lalita Narupiyakul

  3. Integrative Computational BioScience Center, Office of the President, Mahidol University, 999 Phuttamonthon 4 Road, Salaya, Phuttamonthon, Nakhonpathom, 73170, Thailand

    Lalita Narupiyakul & Boonsit Yimwadsana

Authors
  1. Lalita Narupiyakul
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  2. Snit Sanghlao
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  3. Boonsit Yimwadsana
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Corresponding author

Correspondence to Boonsit Yimwadsana .

Editor information

Editors and Affiliations

  1. Institut Mines Télécom Paris/CNRS, Paris, France

    Mounir Mokhtari

  2. Universite de Sherbrooke, Sherbrooke, Québec, Canada

    Bessam Abdulrazak

  3. Digital Research Centre of Sfax, Sfax, Tunisia

    Hamdi Aloulou

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Narupiyakul, L., Sanghlao, S., Yimwadsana, B. (2018). An Indoor Navigation System for the Visually Impaired Based on RSS Lateration and RF Fingerprint. In: Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds) Smart Homes and Health Telematics, Designing a Better Future: Urban Assisted Living. ICOST 2018. Lecture Notes in Computer Science(), vol 10898. Springer, Cham. https://doi.org/10.1007/978-3-319-94523-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-94523-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94522-4

  • Online ISBN: 978-3-319-94523-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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