Landmarks detection to assist the navigation of visually impaired people

Authors:
Paulo Costa;Hugo Fernandes;Verónica Vasconcelos;Paulo Coelho;João Barroso;Leontios Hadjileontiadis
Affiliations:
Polytechnic Institute of Leiria, Portugal;University of Trás-os-Montes e Alto Douro, Portugal;Polytechnic Institute of Coimbra, Portugal;Polytechnic Institute of Leiria, Portugal;University of Trás-os-Montes e Alto Douro, Portugal and GECAD - Knowledge Engineering and Decision Support Research Center, Porto, Portugal;Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Greece
Venue:
HCII'11 Proceedings of the 14th international conference on Human-computer interaction: towards mobile and intelligent interaction environments - Volume Part III
Year:
2011

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Abstract

Assistive technology enables people to achieve independence in the accomplishment of their daily tasks and enhance their quality of life. Visual information is the basis for most navigational tasks, so visually impaired individuals are at disadvantage due to the lack of information or given insufficient information about their surrounding environment. With the recent advances in inclusive technology it is possible to extend the support given to people with visual disabilities during their mobility. In this context we propose a new algorithm to recognize landmarks suitably placed on sidewalks. The proposed algorithm uses a combination of Peano-Hilbert Space Filling Curves for dimension reduction of image data and Ensemble Empirical Mode Decomposition (EEMD) to pre-process the image, resulting on a fast and efficient recognition method and revealing a promising solution.