Abstract
In this work we report applications developed for Android smartphones that were designed for the blind and visually impaired users. The main application is capable of matching photographed objects to a database of objects, e.g. food or medicine containers. The two other applications are aimed at detecting major colours and direction location of the maximum brightness regions in the captured scenes. The conducted tests that were run on the modern smartphones indicate that the database objects can be recognized with an accuracy reaching 89% with an average recognition time of approx. 30 sec. We conclude the paper with a short summary of the tests of the software dedicated to blind and partially sighted users.
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References
Gill, J.: Assistive devices for people with visual impairments. In: Helal, S., Mokhtari, M., Abdulrazak, B. (eds.) The Engineering Handbook of Smart Technology for Aging, Disability, and Independence, pp. 163–190. J. Wiley and Sons (2008)
Hersh, M., Johnson, M.: Assistive technology for visually impaired and blind people. Springer, London (2008)
Lowe, D.: Object recognition from local scale-invariant features. In: Proc. Inter. Conf. on Computer Vision, pp. 1150–1157 (1999)
Matusiak, K., Skulimowski, P.: Comparison of key point detectors in SIFT implementation for mobile devices. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds.) ICCVG 2012. LNCS, vol. 7594, pp. 509–516. Springer, Heidelberg (2012)
Nanayakkara, S.C., Shilkrot, R., Maes, P.: EyeRing: an eye on a finger. In: Proc. Inter. Conf. Human Factors in Computing, pp. 1048–1050 (2012)
Onishi, J., Ono, T.: Contour pattern recognition through auditory labels of Freeman chain codes for people with visual impairments. In: Proc. International IEEE Systems, Man, and Cybernetics Conference, Alaska, USA, pp. 1088–1093 (2011)
Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 430–443. Springer, Heidelberg (2006)
Strumillo, P.: Electronic navigation systems for the blind and the visually impaired. Lodz University of Technology Publishing House (2012) (in Polish)
Tinnakorn, K., Punyathep, P.: A voice system, reading medicament label for visually impaired people. In: Proc. of RFID SysTech, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden, Germany (2011)
Gartner says worldwide sales of mobile phones, http://gartner.com/newsroom/id/2573415 (accessed September 11, 2013)
LookTel recognizer, http://www.looktel.com/recognizer (accessed February 25, 2013)
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Matusiak, K., Skulimowski, P., Strumiłło, P. (2014). A Mobile Phone Application for Recognizing Objects as a Personal Aid for the Visually Impaired Users. In: Hippe, Z., Kulikowski, J., Mroczek, T., Wtorek, J. (eds) Human-Computer Systems Interaction: Backgrounds and Applications 3. Advances in Intelligent Systems and Computing, vol 300. Springer, Cham. https://doi.org/10.1007/978-3-319-08491-6_17
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DOI: https://doi.org/10.1007/978-3-319-08491-6_17
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08490-9
Online ISBN: 978-3-319-08491-6
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