Jan und Fabian spellchecker
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@@ -9,7 +9,7 @@
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\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
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-- 11/06/2014}
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%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
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\firstpagefooter{}{}{}
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\firstpagefooter{}{}{{\bf Supervisor:} Jan Grewe}
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\runningfooter{}{}{}
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\pointsinmargin
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\bracketedpoints
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@@ -31,10 +31,10 @@
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%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{Analysis of eye trajectories.}
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In this project you will analyse eye-tracking data provided by the
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Mallot-Group. In this task the subject had to memorize the positions
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of targets that can be only learned with active gaze shifts. The eye
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movements during training and test are recorded.
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In this project you will analyse eye-tracking data (courtesy of the
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Mallot department). In this task the subject had to memorize the
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positions of targets that can be only learned with active gaze
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shifts. The eye movements during training and test are recorded.
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\begin{questions}
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\question In the accompanying dataset you find six variables. (i)
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@@ -48,15 +48,15 @@ movements during training and test are recorded.
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the same marker belong to the same trial.
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\begin{parts}
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\part Cut the data in chunks belonging to the same trial.
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\part Characterize the eye movements statistically; eye
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velocity, accelerations.
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\part Characterize the eye movements statistically, e.g. with eye
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speed and/or accelerations.
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\part Detect and correct the eye traces for instances in which the
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eye was not correctly detected. Interpolate linearily in these sections.
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\part Create a 'heatmap' plot that shows the eye trajectories
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for one or two (nice) trials.
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\part Use the \verb+kmeans+ clustering function to
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discriminate different types of eye-movements. Try clustering
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using eye velocitiy and acceleration.
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identify fixation points. Manually select a good number of cluster
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centroids.
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\end{parts}
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\end{questions}
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