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[projects] update of assignment text

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Jan Grewe 2014-11-01 23:36:36 +01:00
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projects/project_eyetracker/eyetracker.tex
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@ -37,14 +37,15 @@ of targets that can be only learned with active gaze shifts. The eye
movements during training and test are recorded. movements during training and test are recorded.
\begin{questions} \begin{questions}
\question In the accompanying dataset you find five variables. (i) \question In the accompanying dataset you find six variables. (i)
\textit{gaze\_eye\_found} a logical array indicating whether the eye \textit{eye\_found} a logical array indicating whether the eye was
was found by the tracker. (ii, iii) \textit{gaze\_x} and found by the tracker. (ii, iii) \textit{gaze\_x} and
\textit{gaze\_y} containing the x- and y-position of the gaze. They \textit{gaze\_y} containing the x- and y-position of the gaze. They
relate to a screen with 1280x1024 pixel resolution. (iv) relate to a screen with 1280x1024 pixel resolution. (iv)
\textit{gaze\_time} containing time stamps for each frame. (v) \textit{frame\_time} containing time stamps for each frame. (v)
\textit{marker\_time} containing the time of the last marker. All \textit{marker\_time} containing the time of the last marker. (vi)
data with the same marker-time belong to the same trial. \textit{marker\_count} the count of the markers. All entries with
the same marker belong to the same trial.
\begin{parts} \begin{parts}
\part Cut the data in chunks belonging to the same trial. \part Cut the data in chunks belonging to the same trial.
\part Characterize the eye movements statistically; eye \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 \part Detect and correct the eye traces for instances in which the
eye was not correctly detected. Interpolate linearily in these sections. eye was not correctly detected. Interpolate linearily in these sections.
\part Create a 'heatmap' plot that shows the eye trajectories \part Create a 'heatmap' plot that shows the eye trajectories
for one or two trials. for one or two (nice) trials.
\part (Bonus) Use the \verb+kmeans+ clustering function to \part Use the \verb+kmeans+ clustering function to
discriminate different types of eye-movements. Try clustering discriminate different types of eye-movements. Try clustering
using eye velocitiy and acceleration. using eye velocitiy and acceleration.
\end{parts} \end{parts}