TY - GEN
T1 - Landmarks detection to assist the navigation of visually impaired people
AU - Costa, Paulo
AU - Fernandes, Hugo
AU - Vasconcelos, Verónica
AU - Coelho, Paulo
AU - Barroso, João
AU - Hadjileontiadis, Leontios
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79960339872&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21616-9_33
DO - 10.1007/978-3-642-21616-9_33
M3 - Conference contribution
AN - SCOPUS:79960339872
SN - 9783642216152
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 293
EP - 300
BT - Human-Computer Interaction
T2 - 14th International Conference on Human-Computer Interaction, HCI International 2011
Y2 - 9 July 2011 through 14 July 2011
ER -