References
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International Conference on Computer Systems and Technologies and Workshop for PhD
Students in Computing on International Conference on Computer Systems and Technologies
(2010)
2. Guerrero, L.A., Vasquez, F., Ochoa, S.F.: An indoor navigation system for the visually
impaired. Sensors 12(6), 8236–8258 (2012)
3. Cheraghi, S.A., Namboodiri, V., Walker, L.: GuideBeacon: beacon-based indoor wayfinding
for the blind, visually impaired, and disoriented. In: IEEE International Conference on
Pervasive Computing and Communications (PerCom). IEEE (2017)
4. Legge, G.E., et al.: Indoor navigation by people with visual impairment using a digital sign
system. PloS one 8(10), e76783 (2013)
5. Bach-y-Rita, P., Hughes, B.: Tactile vision substitution: some instrumentation and
perceptual considerations. In: Warren, D.H., Strelow, E.R. (eds.) Electronic Spatial Sensing
for the Blind, NATO ASI Series (Series E: Applied Sciences), vol. 99, pp. 171–186.
Springer, Dordrecht (1985). https://doi.org/10.1007/978-94-017-1400-6_11
6. Kaczmarek, K.A.: The tongue display unit (TDU) for electro-tactile spatiotemporal pattern
presentation. Scientia Iranica. Trans. D Comput. Sci. Eng. Electr. Eng. 18(6), 1476–1485
(2011)
7. Meijer, P.B.L.: An experimental system for auditory image representations. IEEE Trans.
Biomed. Eng. 39, 112–121 (1992)
8. Capelle, C., Trullemans, C., Arno, P., Veraart, C.: A real-time experimental prototype for
enhancement of vision rehabilitation using auditory substitution. IEEE Trans. Biomed. Eng.
45, 1279–1293 (1998)
9. Durette, B., Louveton, N., Alleysson, D., Hérault, J.: Visuo-auditory sensory substitution for
mobility assistance: testing TheVIBE (2008)
10. Bologna, G., Deville, B., Pun, T., Vinckenbosch, M.: Transforming 3D coloured pixels into
musical instrument notes for vision substitution applications. EURASIP J. Image Video
Process. 2007, 14 (2007). https://doi.org/10.1155/2007/76204
11. Manduchi, R., Coughlan, J., Ivanchenko, V.: Search strategies of visually impaired persons
using a camera phone wayfinding system. In: Miesenberger, K., Klaus, J., Zagler, W.,
Karshmer, A. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 1135–1140. Springer, Heidelberg
(2008). https://doi.org/10.1007/978-3-540-70540-6_170
12. Alnfiai, M.: VirtualEyez: developing NFC technology to enable the visually impaired to
shop independently. Dalhousie University Halifax, Nova Scotia (2014)
13. Rassmus-Gröhn, K.: Enabling Audio-Haptics. Department of Design Sciences, Lund
University (2006)
14. Coughlan, J., Manduchi, R., Shen, H.: Cell phone-based wayfinding for the visually
impaired. In: 1st International Workshop on Mobile Vision, Graz, Austria (2006)
15. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library.
ACM Digital Library, New York (2008)
16. Jog, A., Halbe, S.: Object tracking using camshift algorithm in open CV. Int. J. Sci. Res. 1
(6), 37–39 (2012)
402
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1. Ivanov, R.: Indoor navigation system for visually impaired. In: Proceedings of the 11th
International Conference on Computer Systems and Technologies and Workshop for PhD
Students in Computing on International Conference on Computer Systems and Technologies
(2010)
2. Guerrero, L.A., Vasquez, F., Ochoa, S.F.: An indoor navigation system for the visually
impaired. Sensors 12(6), 8236–8258 (2012)
3. Cheraghi, S.A., Namboodiri, V., Walker, L.: GuideBeacon: beacon-based indoor wayfinding
for the blind, visually impaired, and disoriented. In: IEEE International Conference on
Pervasive Computing and Communications (PerCom). IEEE (2017)
4. Legge, G.E., et al.: Indoor navigation by people with visual impairment using a digital sign
system. PloS one 8(10), e76783 (2013)
5. Bach-y-Rita, P., Hughes, B.: Tactile vision substitution: some instrumentation and
perceptual considerations. In: Warren, D.H., Strelow, E.R. (eds.) Electronic Spatial Sensing
for the Blind, NATO ASI Series (Series E: Applied Sciences), vol. 99, pp. 171–186.
Springer, Dordrecht (1985). https://doi.org/10.1007/978-94-017-1400-6_11
6. Kaczmarek, K.A.: The tongue display unit (TDU) for electro-tactile spatiotemporal pattern
presentation. Scientia Iranica. Trans. D Comput. Sci. Eng. Electr. Eng. 18(6), 1476–1485
(2011)
7. Meijer, P.B.L.: An experimental system for auditory image representations. IEEE Trans.
Biomed. Eng. 39, 112–121 (1992)
8. Capelle, C., Trullemans, C., Arno, P., Veraart, C.: A real-time experimental prototype for
enhancement of vision rehabilitation using auditory substitution. IEEE Trans. Biomed. Eng.
45, 1279–1293 (1998)
9. Durette, B., Louveton, N., Alleysson, D., Hérault, J.: Visuo-auditory sensory substitution for
mobility assistance: testing TheVIBE (2008)
10. Bologna, G., Deville, B., Pun, T., Vinckenbosch, M.: Transforming 3D coloured pixels into
musical instrument notes for vision substitution applications. EURASIP J. Image Video
Process. 2007, 14 (2007). https://doi.org/10.1155/2007/76204
11. Manduchi, R., Coughlan, J., Ivanchenko, V.: Search strategies of visually impaired persons
using a camera phone wayfinding system. In: Miesenberger, K., Klaus, J., Zagler, W.,
Karshmer, A. (eds.) ICCHP 2008. LNCS, vol. 5105, pp. 1135–1140. Springer, Heidelberg
(2008). https://doi.org/10.1007/978-3-540-70540-6_170
12. Alnfiai, M.: VirtualEyez: developing NFC technology to enable the visually impaired to
shop independently. Dalhousie University Halifax, Nova Scotia (2014)
13. Rassmus-Gröhn, K.: Enabling Audio-Haptics. Department of Design Sciences, Lund
University (2006)
14. Coughlan, J., Manduchi, R., Shen, H.: Cell phone-based wayfinding for the visually
impaired. In: 1st International Workshop on Mobile Vision, Graz, Austria (2006)
15. Bradski, G., Kaehler, A.: Learning OpenCV: Computer Vision with the OpenCV Library.
ACM Digital Library, New York (2008)
16. Jog, A., Halbe, S.: Object tracking using camshift algorithm in open CV. Int. J. Sci. Res. 1
(6), 37–39 (2012)
402
H. Jabnoun et al.