From a5c9365a54c0315f3c2a9c9419cdfcc07fdb3d94 Mon Sep 17 00:00:00 2001 From: Jan Grewe Date: Sat, 1 Nov 2014 23:36:36 +0100 Subject: [PATCH] [projects] update of assignment text --- projects/project_eyetracker/eyetracker.tex | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/projects/project_eyetracker/eyetracker.tex b/projects/project_eyetracker/eyetracker.tex index 4580cc8..6b3132b 100755 --- a/projects/project_eyetracker/eyetracker.tex +++ b/projects/project_eyetracker/eyetracker.tex @@ -37,14 +37,15 @@ of targets that can be only learned with active gaze shifts. The eye movements during training and test are recorded. \begin{questions} - \question In the accompanying dataset you find five variables. (i) - \textit{gaze\_eye\_found} a logical array indicating whether the eye - was found by the tracker. (ii, iii) \textit{gaze\_x} and + \question In the accompanying dataset you find six variables. (i) + \textit{eye\_found} a logical array indicating whether the eye was + found by the tracker. (ii, iii) \textit{gaze\_x} and \textit{gaze\_y} containing the x- and y-position of the gaze. They relate to a screen with 1280x1024 pixel resolution. (iv) - \textit{gaze\_time} containing time stamps for each frame. (v) - \textit{marker\_time} containing the time of the last marker. All - data with the same marker-time belong to the same trial. + \textit{frame\_time} containing time stamps for each frame. (v) + \textit{marker\_time} containing the time of the last marker. (vi) + \textit{marker\_count} the count of the markers. All entries with + the same marker belong to the same trial. \begin{parts} \part Cut the data in chunks belonging to the same trial. \part Characterize the eye movements statistically; eye @@ -52,8 +53,8 @@ movements during training and test are recorded. \part Detect and correct the eye traces for instances in which the eye was not correctly detected. Interpolate linearily in these sections. \part Create a 'heatmap' plot that shows the eye trajectories - for one or two trials. - \part (Bonus) Use the \verb+kmeans+ clustering function to + for one or two (nice) trials. + \part Use the \verb+kmeans+ clustering function to discriminate different types of eye-movements. Try clustering using eye velocitiy and acceleration. \end{parts}