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scientificComputing/projects/project_eyetracker/eyetracker.tex
2014-11-02 13:35:52 +01:00

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\documentclass[addpoints,11pt]{exam}
\usepackage{url}
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\usepackage{hyperref}
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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}
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%\printanswers
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\begin{document}
%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
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% \begin{flushright}
% \gradetable[h][questions]
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\begin{center}
\input{../disclaimer.tex}
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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.
\begin{questions}
\question In the accompanying dataset you find six variables. (i)
\textit{eye\_found} a logical array indicating whether the eye was
found by the tracker. (ii, iii) \textit{gaze\_x} and
\textit{gaze\_y} containing the x- and y-position of the gaze. They
relate to a screen with 1280x1024 pixel resolution. (iv)
\textit{frame\_time} containing time stamps for each frame. (v)
\textit{marker\_time} containing the time of the last marker. (vi)
\textit{marker\_count} the count of the markers. All entries with
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 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.
\end{parts}
\end{questions}
\end{document}