@InProceedings{CordeiroBatiQuirPedr:2016:DaFuAr,
               author = "Cordeiro, Natal Henrique and Batista Dourado, Antonio Miguel and 
                         Quirino, Gustavo da Silva and Pedrino, Emerson Carlos",
          affiliation = "{Federal Institute of S{\~a}o Paulo} and {Federal Institute of 
                         S{\~a}o Paulo} and {Federal University of S{\~a}o Carlos} and 
                         {Federal University of S{\~a}o Carlos}",
                title = "A data fusion architecture proposal for visually impaired people",
            booktitle = "Proceedings...",
                 year = "2016",
               editor = "Aliaga, Daniel G. and Davis, Larry S. and Farias, Ricardo C. and 
                         Fernandes, Leandro A. F. and Gibson, Stuart J. and Giraldi, Gilson 
                         A. and Gois, Jo{\~a}o Paulo and Maciel, Anderson and Menotti, 
                         David and Miranda, Paulo A. V. and Musse, Soraia and Namikawa, 
                         Laercio and Pamplona, Mauricio and Papa, Jo{\~a}o Paulo and 
                         Santos, Jefersson dos and Schwartz, William Robson and Thomaz, 
                         Carlos E.",
         organization = "Conference on Graphics, Patterns and Images, 29. (SIBGRAPI)",
            publisher = "IEEE Computer Society´s Conference Publishing Services",
              address = "Los Alamitos",
             keywords = "visually impaired person, situation awareness.",
             abstract = "Based on the difficulties that a Visually Impaired Person (VIP) 
                         has in understanding certain contexts, this article proposes a new 
                         architecture that aims to contextualize elements of that 
                         environment and, thus, help the visually disabled person to move 
                         around safely. The main objective of this project is to extract 
                         environmental features and to subsequently perform the processes 
                         of perception, comprehension and projection of the Situation 
                         Awareness (SAW) model. The proposed architecture is composed of 
                         Computer Vision techniques (CV) and Data Fusion (DF). The CV 
                         techniques were used in order to obtain the necessary 
                         characteristics for the DF to perform the search for consistent 
                         relationships for pattern recognition and allow for the projection 
                         of possible collisions of the VIP with environmental elements. For 
                         the collision projection, the specific characteristics of each 
                         context were extracted and trained, thus providing the VIP with 
                         inferences made in real time.",
  conference-location = "S{\~a}o Jos{\'e} dos Campos, SP, Brazil",
      conference-year = "4-7 Oct. 2016",
                  doi = "10.1109/SIBGRAPI.2016.030",
                  url = "http://dx.doi.org/10.1109/SIBGRAPI.2016.030",
             language = "en",
                  ibi = "8JMKD3MGPAW/3M5BG3H",
                  url = "http://urlib.net/ibi/8JMKD3MGPAW/3M5BG3H",
           targetfile = "36.pdf",
        urlaccessdate = "2024, May 03"
}