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Advisor(s)
Abstract(s)
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.
Description
Keywords
Pedagogical Context
Citation
Costa, P., Fernandes, H., Vasconcelos, V., Coelho, P., Barroso, J., Hadjileontiadis, L. (2011). Landmarks Detection to Assist the Navigation of Visually Impaired People. In: Jacko, J.A. (eds) Human-Computer Interaction. Towards Mobile and Intelligent Interaction Environments. HCI 2011. Lecture Notes in Computer Science, vol 6763. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21616-9_33
Publisher
Springer Berlin Heidelberg