Videos related to the paper:
FixTag: An algorithm for identifying and tagging fixations to simplify the analysis of data collected by portable eye trackers
Submitted for publication in Transactions on Applied Perception, Special Issue on APGV
As an extension to the work described in:
Munn, S. M., L. Stefano and J. B. Pelz. 2008. Fixation-identification in dynamic scenes: comparing an automated algorithm to manual coding. In APGV 2008: Symposium on Applied Perception in Graphics and Visualization, ACM Press, In press. [pdf]
http://www.cis.rit.edu/mvrl/APGV
Videos containing middle frame of each fixation, tagged by manual coders: Crosshair and circle colors alternate between cyan and yellow to show change in fixation. We recommend viewing these videos one frame at a time using the arrow keys.
Scene 1: Subject looking at products on store shelves
Scene 2: Subject looking at posters on walls
Full videos showing fixations automatically tagged by FixTag: Crosshair and circle colors alternate between cyan and yellow to show change in fixation. Crosshair is dark red (without a circle) when subject is not fixating. Red square in top left corner signifies a loss of the pupil.
Scene 1: Subject looking at products on store shelves
Scene 2: Subject looking at posters on walls