Anonymous indoor navigation system on handheld mobile devices for visually impaired

International Journal of Wireless Information Networks

Volumn 19, Issue 4, 2012, Pages 352-367

  Feng, Chen ^a   Valaee, Shahrokh ^a   Au, Anthea Wain Sy ^a   Reyes, Sophia ^b   Sorour, Sameh ^a   Markowitz, Samuel N ^b   Gold, Deborah ^c   Gordon, Keith ^c   Eizenman, Moshe ^a,b,d  

^a UNIVERSITY OF TORONTO   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c Canadian National Institute for the Blind   (Canada)

^d UNIVERSITY OF TORONTO   (Canada)

Author keywords

Compressive sensing; Indoor navigation; Indoor positioning; Indoor tracking; Kalman filter; Mobile devices; RSS; Visually Impaired; WLANs

Indexed keywords

COMPRESSIVE SENSING; IN-DOOR NAVIGATIONS; INDOOR POSITIONING; INDOOR TRACKING; VISUALLY IMPAIRED; WLANS;

KALMAN FILTERS; NAVIGATION SYSTEMS; RSS; SIGNAL RECONSTRUCTION; TRACKING (POSITION); WIRELESS LOCAL AREA NETWORKS (WLAN);

MOBILE DEVICES;

EID: 84879689168     PISSN: 10689605     EISSN: 15728129     Source Type: Journal    
DOI: 10.1007/s10776-012-0194-0     Document Type: Article

References (19)

1. S. N. Markowitz, Principles of modern low vision rehabilitation, Canadian Journal of Ophthalmology, Vol. 41, No. 3, pp. 289-3128, 2006.
2. The cost of vision loss in canada, Canadian National Institute for Blind (CNIB) Summary Report, 2009. http://www.cnib.ca/en/research/Pages/covl.aspx. Accessed 13 Aug 2012.
3. D. Burton and T. Annis, Navigating by phone: a review of wayfinder access gps and mobile geo, ABF AccessWorld, Vol. 10, No. 4, 2009. http://www.afb.org/ afbpress/pub.asp?DocID=aw100402.
4. A. Goldsmith, Wireless Communications, 1st ed. Cambridge University Press, Cambridge, 2005.
5. P. Bahl and V. N. Padmanabhan, RADAR: an in-building RF-based user location and tracking system, INFOCOM 2002, Vol. 2, pp. 775-784, 2002.
6. M. Youssef and A. Agrawala, The horus WLAN location determination system, Proceedings of the Third International Conference on Mobile Systems, Applications, and Services, Seattle, pp. 205-218, 2005.
7. "Ekahau," 2006. http://www.ekahau.com/
8. C. Feng, W. S. A. Au, S. Valaee, and Z. H. Tan, Compressive sensing based indoor positioning using RSS of WLAN access points, INFOCOM 2010, San Diego, pp. 1-9, 2010.
9. C. Feng, W. S. A. Au, S. Valaee, and Z. Tan, Received signal strength based indoor positioning using compressive sensing, Mobile Computing, IEEE Transaction on, 2011 (accepted).
10. E. J. Candes and M. B. Wakin, An introduction to compressive sampling, IEEE Signal Processing Magazine, Vol. 25, No. 2, pp. 21-30, 2008.
11. J. Romberg, Imaging via compressive sampling, IEEE Signal Processing Magazine, Vol. 25, No. 2, pp. 14-20, March 2008.
12. E. J. Candes and J. Romberg, Sparsity and incoherence in compressive sampling, Inverse Problems, Vol. 23, No. 3, pp. 969-985, 2007.
13. E. J. Candes and T. Tao, Near optimal signal recovery from randomm projections: Universal encoding strategies?, IEEE Transactions on Information Theory, Vol. 52, No. 12, pp. 5406-5425, 2006.
14. B. J. Frey and D. Dueck, Clustering by passing messages between data points, Science, Vol. 315, No. 1, pp. 972-976, 2007.
15. OpenNetCF, smart device framework, 2010. http://www.opennetcf.com/ Products/SmartDeviceFramework.aspx. Accessed 13 Aug 2012.
16. DotNetMatrix, simple matrix library for.NET, 2010. http://www. codeproject.com/KB/recipes/psdotnetmatrix.aspx. Accessed 13 Aug 2012.
17. F. L. Ferris, A. Kassoff, G. H. Bresnick, and I. L. Baily, New visual acuity charts for clinical research, American Journal of Ophthalmology, Vol. 94, No. 1, pp. 91-96, 1982.
18. J. A. Stelmack, J. P. Szlyk, and T. R. Stelmack, Measuring outcomes of low vision rehabilitation with the veterans affairs low vision visual functioning questionnaire (VALV VFQ-48), Investigative Ophthalmology & Visual Science, Vol. 47, No. 8, pp. 3253-3261, 2006.
19. A. Kushki, K. N. Plataniotis, and A. N. Venetsanopoulos, "Kernel-Based Positioning in Wireless Local Area Networks," IEEE Transactions on Mobile Computing, Vol. 6, No. 6, pp. 689 -705, 2007.