@InProceedings{RochaSilvFern:2021:ImSmEy,
               author = "Rocha, Allana L. dos S. and Silva, Leandro H. de S. and Fernandes, 
                         Bruno J. T.",
          affiliation = "{University of Pernambuco} and {University of Pernambuco} and 
                         {University of Pernambuco}",
                title = "Improved Smart Eye Tracker Communicator Using Low Resolution 
                         Webcam",
            booktitle = "Proceedings...",
                 year = "2021",
               editor = "Paiva, Afonso and Menotti, David and Baranoski, Gladimir V. G. and 
                         Proen{\c{c}}a, Hugo Pedro and Junior, Antonio Lopes Apolinario 
                         and Papa, Jo{\~a}o Paulo and Pagliosa, Paulo and dos Santos, 
                         Thiago Oliveira and e S{\'a}, Asla Medeiros and da Silveira, 
                         Thiago Lopes Trugillo and Brazil, Emilio Vital and Ponti, Moacir 
                         A. and Fernandes, Leandro A. F. and Avila, Sandra",
         organization = "Conference on Graphics, Patterns and Images, 34. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "eye-tracking, facial alignment, gaze direction, dominant eye, 
                         computer vision.",
             abstract = "Eye-tracking is a tool presented in many applications ranging from 
                         scientific research to commercial applications. One of them is 
                         assistive technologies that aim to help people with some 
                         disabilities, including communication. However, the applications 
                         usually require specific hardware components or a high 
                         computational cost. This work proposes the Smart Eye Communicator 
                         II (SEC-II), an evolution of a previously presented algorithm to 
                         detect the pupil center and the user's gaze direction in 
                         real-time, using a low-resolution webcam and a conventional 
                         computer without a need for calibration. In SEC-II, a face 
                         aligner, which gets a canonical face alignment based on 
                         translation, scale, and rotation, has been added to the system. 
                         Likewise, strategies using eye coordinates were implemented to 
                         find the dominant eye. By implementing these new approaches, the 
                         algorithm achieved 86% accuracy, even under variable and 
                         non-uniform environmental conditions. Moreover, a graphical 
                         interface was implemented connecting the SEC-II to the internet 
                         and allowing users to express their desires and watch online 
                         videos chosen by themselves.",
  conference-location = "Gramado, RS, Brazil (virtual)",
      conference-year = "18-22 Oct. 2021",
             language = "en",
                  ibi = "8JMKD3MGPEW34M/45E4R5H",
                  url = "http://urlib.net/ibi/8JMKD3MGPEW34M/45E4R5H",
           targetfile = "
                         
                         Improved_Smart_Eye_Tracker_Communicator_Using_Low_Resolution_Webcam___SIBGRAPI_2021.pdf",
        urlaccessdate = "2024, May 06"
}