42 lines
2.2 KiB
TeX
42 lines
2.2 KiB
TeX
\documentclass[a4paper,12pt,pdftex]{exam}
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\newcommand{\ptitle}{Eye tracker}
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\input{../header.tex}
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\firstpagefooter{Supervisor: Lukas Sonnenberg}{phone:}%
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{email: lukas.sonnenberg@uni-tuebingen.de}
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\begin{document}
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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 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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The screen was 37.6\,cm wide and 30.1\,cm high and had a resolution of 1280\,x\,1024\,pixel. The distance between subject's eyes and the screen was 50\,cm.
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The eyetracker recorded ey positions with 60\,Hz. The fixation point was shown at the center of the screen and can be used to compensate for possible offests in the \verb+gaze_x+ and \verb+gaze_y+ positions.
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\begin{questions}
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\question Familiarize yourself with the data.
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\begin{parts}
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\part Cut the data in 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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\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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\question Compare the subject's behaviour when viewing the different scenes.
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\end{questions}
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\end{document}
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