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Smart Multisensor Strategies for Indoor Localization

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Mobility of Visually Impaired People

Abstract

This chapter focuses on indoor localization implemented by traditional and advanced enabling technologies , measurement strategies and applications. In particular, the discussion is oriented to perform a benchmark between different solutions with a specific focus in the framework of Active and Assisted Living . A case of study of an Assistive Systems supporting blind people during the exploitation of indoor environments is also presented. The system uses ultrasound technology, an advanced trilateration paradigm to perform a real time and continuous indoor localization and tools dedicated to gain the awareness of user/environment interaction and contextualization . Such features allow to provide the user with an efficient assistance for a safe exploitation of indoor environments

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References

  1. Hersh M, Johnson MA (eds) (2008) Assistive technology for visually impaired and blind people. Springer, London, GB

    Google Scholar 

  2. Bujacz M, Baranski P, Moranski M, Strumillo P, Materka A (2008) Remote mobility and navigation aid for the visually disabled. In: Sharkey PM, Lopes-dos-Santos P, Weiss PL, Brooks AL (eds) Proceedings of 7th international conference on disability, virtual reality and associate technologies with art abilitation, Maia, Portugal, 8–11 Sept 2008, pp 263–270

    Google Scholar 

  3. Andò B, Ascia A (2007) Navigation aids for the visually impaired: from artificial codification to natural sensing. IEEE Mag Instrum Meas 10(3):44–51

    Article  Google Scholar 

  4. Andò B, Baglio S, Lombardo CO (2014) RESIMA: an assitive paradigm to support weak people in indoor environment. IEEE Trans Instrum Meas 63(11):2522–2528

    Article  Google Scholar 

  5. Andò B, Baglio S, La Malfa S, Marletta V (2011) Innovative smart sensing solutions for the visually impaired. In: Handbook of research on personal autonomy technologies and disability informatics, Medical inforMation science reference, IGI Global, Hershey, pp 60–74

    Google Scholar 

  6. Andò B (2006) Sensors that provide security for people with depressed receptors. IEEE Mag Instrum Meas 9(2):58–63

    Article  Google Scholar 

  7. Velázquez R (2010) Wearable assistive devices for the blind. In: Lay-Ekuakille A, Mukhopadhyay SC (eds) Wearable and autonomous biomedical devices and systems for smart environment: issues and characterization, LNEE 75, Springer, Berlin, Chap. 17, pp 331–349

    Google Scholar 

  8. Andò B, Graziani S (2009) Multisensor strategies to assist blind people: a clear-path indicator. IEEE Trans Instrum Meas 58(8):2488–2494

    Article  Google Scholar 

  9. Andò B (2008) A smart multisensor approach to assist blind people in specific urban navigation tasks. IEEE Trans Neural Syst Rehab Eng 16(6):592–594

    Article  Google Scholar 

  10. Villanueva J, Farcy R (2012) Optical device indicating a safe free path to blind people. IEEE Trans Instrum Meas 61(1):170–177

    Article  Google Scholar 

  11. Scalise L, Primiani VM, Russo P, Shahu D, Di Mattia V, De Leo A, Cerri G (2012) Experimental investigation of electromagnetic obstacle detection for visually impaired users: a comparison with ultrasonic sensing. IEEE Trans Instrum Meas 61(11):3047–3057

    Article  Google Scholar 

  12. Meijer P (1992) An experimental system for auditory image representations. IEEE Trans Biomed Eng 39(2):112–121

    Article  Google Scholar 

  13. Velazquez R, Fontaine E, Pissaloux E (2006) Coding the environment in tactile maps for real-time guidance of the visually impaired. In: Proceedings of IEEE international symposium on micro-nanomechatronics and human science, Nagoya, Japan, 5–8 Nov 2006, pp 1–6

    Google Scholar 

  14. Nicholaus R. Mrindoko, Lusajo M. Minga A (2016) Comparison review of indoor positioning techniques. Int J Comput (IJC) 21(1):42–49

    Google Scholar 

  15. Mainetti L, Patrono L, Sergi I (2014) A survey on indoor positioning systems. In: Software, telecommunications and computer networks (SoftCOM), 2014 22nd International Conference on, Split, pp 111–120

    Google Scholar 

  16. Liu JJ, Philips C, Daniilidis K (2010) Video-based localization without 3D mapping for the visually impaired. In: IEEE computer society conference on computer vision and pattern recognition workshops (CVPRW), San Francisco, CA, 13–18 June 2010, pp 23–30

    Google Scholar 

  17. Zhongna Z, Xi C, Yu-Chia C, Zhihai H, Han TX, Keller JM (2009) Video-based activity monitoring for indoor environments. In: International symposium on circuits and systems, Taipei, 24–27 May 2009, pp 1449–1452

    Google Scholar 

  18. Pierlot V, Van Droogenbroeck M (2014) BeAMS: a beacon-based angle measurement sensor for mobile robot positioning. IEEE Trans Robot 30(3)

    Google Scholar 

  19. Zhang D, Xia F, Yang Z, Yao L, Zhao L (2010) Localization technologies for indoor human tracking. IEEE Commun Surv Tutorials 11:1–6

    Google Scholar 

  20. Want Roy, Hopper Andy, Falcao Veronica, Gibbons Jonathan (1992) The active badge location system. ACM Trans Inform Syst (TOIS) 10(1):92–102

    Google Scholar 

  21. Firefly Motion Tracking System User’s guide (1999) http://www.gesturecentral.com/firefly/FireflyUserGuide.pdf

  22. Bahl P, Padmanabhan V (2000) RADAR: An in-building RF based user location and tracking system. IEEE INFOCOM 2:775–784

    Google Scholar 

  23. King T, Kopf S, Haenselmann T, Lubberger C, Effelsberg W (2006) COMPASS: a probabilistic indoor positioning system based on 802.11 and digital compasses. ACM WiNTECH, Los Angeles, USA, pp 34–40

    Google Scholar 

  24. Andò B, Baglio S, La Malfa S, Marletta V (2011) A sensing architecture for mutual user-environment awareness case of study: a mobility aid for the visually impaired. IEEE Sens J 11(3):634–640

    Article  Google Scholar 

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Andò, B., Baglio, S., Lombardo, C.O., Marletta, V. (2018). Smart Multisensor Strategies for Indoor Localization. In: Pissaloux, E., Velazquez, R. (eds) Mobility of Visually Impaired People. Springer, Cham. https://doi.org/10.1007/978-3-319-54446-5_18

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  • DOI: https://doi.org/10.1007/978-3-319-54446-5_18

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  • Print ISBN: 978-3-319-54444-1

  • Online ISBN: 978-3-319-54446-5

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