author = "Cruz, Mateus da Mota Cardoso da and Zampolo, Ronaldo de Freitas 
                         and Silva, Matthieu Perreira da and Callet, Patrick Le",
          affiliation = "{Federal University of Par{\'a}} and {Federal University of 
                         Par{\'a}} and {University of Nantes} and {University of Nantes}",
                title = "An experimental setup and protocol for offline performance 
                         assessment of eye/gaze tracking strategies",
            booktitle = "Proceedings...",
                 year = "2017",
               editor = "Torchelsen, Rafael Piccin and Nascimento, Erickson Rangel do and 
                         Panozzo, Daniele and Liu, Zicheng and Farias, Myl{\`e}ne and 
                         Viera, Thales and Sacht, Leonardo and Ferreira, Nivan and Comba, 
                         Jo{\~a}o Luiz Dihl and Hirata, Nina and Schiavon Porto, Marcelo 
                         and Vital, Creto and Pagot, Christian Azambuja and Petronetto, 
                         Fabiano and Clua, Esteban and Cardeal, Fl{\'a}vio",
         organization = "Conference on Graphics, Patterns and Images, 30. (SIBGRAPI)",
            publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
              address = "Porto Alegre",
             keywords = "Experimental setup, experimental protocol, visual attention 
                         models, low-cost eye/gaze tracking.",
             abstract = "Several applications (crowdsourcing, human-computer interface, and 
                         web design, just to name a few) can largely benefit from reliable 
                         low-cost eye/gaze tracking solutions with either reduced or 
                         no-calibration procedure. Although very accurate eye/gaze trackers 
                         are currently affordable to common users, special hardware is 
                         still needed and calibration procedure remains apparent. This 
                         paper presents an experimental setup and protocol aimed at 
                         providing ground truth and supporting data to allow offline 
                         performance evaluation of different eye/gaze tracking schemes. 
                         This work is part of an ongoing research on the use of visual 
                         attention models in conjunction with eye/gaze tracking strategies 
                         for performance improvement as well as reduction of calibration 
                         phase in low-cost solutions. The proposed experimental setup 
                         hardware is composed of off-the-shelf equipment (eye/gaze tracker, 
                         conventional webcam, and a desktop computer). In turn, the control 
                         software is developed in PsychoPy/Python and made publicly 
                         available. Data acquisition components and conceived experimental 
                         protocol are discussed in details.",
  conference-location = "Niter{\'o}i, RJ",
      conference-year = "Oct. 17-20, 2017",
             language = "en",
                  ibi = "8JMKD3MGPAW/3PJ535B",
                  url = "",
           targetfile = "sigbrapi2017.pdf",
        urlaccessdate = "2021, Jan. 25"