45 lines
1.7 KiB
TeX
45 lines
1.7 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: Jan Grewe}{phone: 29 74588}%
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{email: jan.grewe@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 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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\textit{eye\_found} a logical array indicating whether the eye was
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found by the tracker. (ii, iii) \textit{gaze\_x} and
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\textit{gaze\_y} containing the x- and y-position of the gaze. They
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relate to a screen with 1280x1024 pixel resolution. (iv)
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\textit{frame\_time} containing time stamps for each frame. (v)
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\textit{marker\_time} containing the time of the last marker. (vi)
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\textit{marker\_count} the count of the markers. All entries with
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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, 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 of the eye-positions
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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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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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\end{document}
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