[projects] ey-tracking task

projects/project_eyetracker/Makefile

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+latex:
+	pdflatex *.tex > /dev/null
+	pdflatex *.tex > /dev/null
+
+clean:
+	rm -rf *.log *.aux *.zip *.out auto
+	rm -f `basename *.tex .tex`.pdf
+
+zip: latex
+	zip `basename *.tex .tex`.zip *.pdf *.dat *.mat

projects/project_eyetracker/eyetracker.tex

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+\documentclass[addpoints,11pt]{exam}
+\usepackage{url}
+\usepackage{color}
+\usepackage{hyperref}
+
+\pagestyle{headandfoot}
+\runningheadrule
+\firstpageheadrule
+\firstpageheader{Scientific Computing}{Project Assignment}{11/05/2014
+  -- 11/06/2014}
+%\runningheader{Homework 01}{Page \thepage\ of \numpages}{23. October 2014}
+\firstpagefooter{}{}{}
+\runningfooter{}{}{}
+\pointsinmargin
+\bracketedpoints
+
+%\printanswers
+%\shadedsolutions
+
+
+\begin{document}
+%%%%%%%%%%%%%%%%%%%%% Submission instructions %%%%%%%%%%%%%%%%%%%%%%%%%
+\sffamily
+% \begin{flushright}
+% \gradetable[h][questions]
+% \end{flushright}
+
+\begin{center}
+  \input{../disclaimer.tex}
+\end{center}
+
+%%%%%%%%%%%%%% 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 five variables. (i)
+  \textit{gaze\_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{gaze\_time} containing time stamps for each frame. (v)
+  \textit{marker\_time} containing the time of the last marker. All
+  data with the same marker-time 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 trials.
+    \part (Bonus) 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}