Jan und Fabian spellchecker

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Fabian Sinz
2014-11-03 11:28:54 +01:00
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\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
-- 11/06/2014}
%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
\firstpagefooter{}{}{}
\firstpagefooter{}{}{{\bf Supervisor:} Jan Grewe}
\runningfooter{}{}{}
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%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
\section*{Analysis of eye trajectories.}
In this project you will analyse eye-tracking data provided by the
Mallot-Group. In this task the subject had to memorize the positions
of targets that can be only learned with active gaze shifts. The eye
movements during training and test are recorded.
In this project you will analyse eye-tracking data (courtesy of the
Mallot department). In this task the subject had to memorize the
positions 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 six variables. (i)
@@ -48,15 +48,15 @@ movements during training and test are recorded.
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
velocity, accelerations.
\part Characterize the eye movements statistically, e.g. with eye
speed and/or accelerations.
\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 (nice) trials.
\part Use the \verb+kmeans+ clustering function to
discriminate different types of eye-movements. Try clustering
using eye velocitiy and acceleration.
identify fixation points. Manually select a good number of cluster
centroids.
\end{parts}
\end{questions}