Abstract
We report new experiments conducted using a camera phone wayfinding system, which is designed to guide a visually impaired user to machine-readable signs (such as barcodes) labeled with special color markers. These experiments specifically investigate search strategies of such users detecting, localizing and touching color markers that have been mounted in various ways in different environments: in a corridor (either flush with the wall or mounted perpendicular to it) or in a large room with obstacles between the user and the markers. The results show that visually impaired users are able to reliably find color markers in all the conditions that we tested, using search strategies that vary depending on the environment in which they are placed.
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References
Coughlan, J., Manduchi, R., Shen, H.: Cell phone-based wayfinding for the visually impaired. In: 1st International Workshop on Mobile Vision, Graz, Austria (May 2006)
Coughlan, J., Manduchi, R.: Color targets: Fiducials to help visually impaired people find their way by camera phone. EURASIP Journal on Image and Video Processing – special issue on Image and Video Processing for Disability (2007)
Crandall, W., Bentzen, B., Myers, L., Brabyn, J.: New orientation and accessibility option for persons with visual impairment: Transportation applications for remote infrared audible signage. Clinical and Experimental Optometry 84(3), 120–131 (2001)
Fiala, M.: ARTag, A fiducial marker system using digital techniques. In: Proc. IEEE CVPR, San Diego (June 2005)
Naimark, L., Foxlin, E.: Circular data matrix fiducial system and robust image processing for a wearable vision-inertial self-tracker. In: Proc. ISMAR (2002)
Rohs, M.: Real–world interaction with a camera–phone. In: Murakami, H., Nakashima, H., Tokuda, H., Yasumura, M. (eds.) UCS 2004. LNCS, vol. 3598, Springer, Heidelberg (2005)
Silapachote, P., Weinman, J., Hanson, A., Weiss, R., Mattar, M.A.: Automatic sign detection and recognition in natural scenes. In: Proc. IEEE Workshop on Computer Vision Applications for the Visually Impaired (CVAVI 2005), San Diego (June 2005)
Roy, N.G., Legge, G.E.: Digital Sign System for Indoor Wayfinding for the Visually Impaired. In: Proc. IEEE Workshop on Computer Vision Applications for the Visually Impaired (CVAVI 2005), San Diego (June 2005)
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© 2008 Springer-Verlag Berlin Heidelberg
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Manduchi, R., Coughlan, J., Ivanchenko, V. (2008). Search Strategies of Visually Impaired Persons Using a Camera Phone Wayfinding System. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds) Computers Helping People with Special Needs. ICCHP 2008. Lecture Notes in Computer Science, vol 5105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70540-6_170
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DOI: https://doi.org/10.1007/978-3-540-70540-6_170
Publisher Name: Springer, Berlin, Heidelberg
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