[projects] checked Jan B and Lukas projects
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\input{../instructions.tex}
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%%%%%%%%%%%%%% Questions %%%%%%%%%%%%%%%%%%%%%%%%%
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\section*{Analysis of eye trajectories.}
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In this project you will analyze eye-tracking data (courtesy of Gregor Hardiess,
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Cognitive Neuroscience, Uni-T\"ubingen). In this task subjects were viewing
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biblical images while their eye movements were recorded.
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In this project you will analyze eye-tracking data (courtesy of Gregor
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Hardiess, Cognitive Neuroscience, Uni-T\"ubingen). In this task
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subjects were viewing biblical images while their eye movements were
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recorded.
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In the accompanying datasets you find a subject's eye tracking data when viewing two different images
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(\emph{Genesis\_VIII.png} and \emph{Genesis\_XXXIX.png}, files \verb+1_1.mat+ and \verb+1_2.mat+, respectively). Each \verb+mat+-file contains five variables: \verb+frame_index+, the \verb+gaze_x+ and \verb+gaze_y+ position (in pixel on the screen), a boolean vector \verb+eye_found+ telling whether the tracker could actually estimate the eye position, and a vector \verb+marker+. The \verb+marker+ is used to indicate sections in the data. 0 can be ignored, 1 marks the fixation period and 2 indicates the acutal trial.
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\question Familiarize yourself with the data.
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\begin{parts}
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\part Cut the data into chunks belonging to the same period (fixation and free eye-movements).
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\part Detect problems in the data (e.g. the eye was not found) and correct the eye traces. Interpolate linearily in these sections.
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\part Detect problems in the data (e.g. the eye was not found) and correct the eye traces. Interpolate linearily in these sections.
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\end{parts}
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\question Characterize the eye movements statistically.
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\begin{parts}
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\part Calculate with eye speed and/or accelerations.
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\part Create a 'heatmap' plot of the eye-positions.
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\part Detect fixation points in the "free movement" part of the data.
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\end{parts}
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