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-\section{Experiment}
+\section{Experiment design}
 
-\subsection{Experiment design}
-\subsection{Results}
+A real-life uncontrolled experiment using the kinect was conducted to
+test to the algorithm. 
+
+\subsection{Kinect}
+
+Signals:
+\begin{itemize}
+\item audio
+\item video
+\item depth map
+\end{itemize}
+
+Skeleton fitting:
+\begin{itemize}
+\item OpenNI (calibration needed)
+\item Microsoft SDK
+\end{itemize}
+
+\subsection{Environment}
+
+\begin{itemize}
+\item 1 week
+\item 23 people
+\end{itemize}
+
+\subsection{Data set}
+
+The original dataset consists of the sequence of all the frames where
+a skeleton was detected by the Microsoft SDK. For each frames the
+following data is available:
+\begin{itemize}
+\item the 3D coordinates of 20 body joints
+\item the z-value: this is the distance from the detected skeleton to
+  the camera
+\end{itemize}
+For some of frames, one or several joints were occluded by another
+part of the body. In those cases, the coordinates of these joints are
+either absent from the frame or present but tagged as \emph{Inferred}
+by the Microsoft SDK. It means that even though the joint was not
+present on the frame, the skeleton-fitting algorithm was able to guess
+its location.
+
+Each frame also has a skeleton ID number. If this numbers stays the
+same across several frames, it means that the skeleton-fitting
+algorithm was able to detect the skeleton in a contiguous way. This
+allows us to define the concept of a \emph{run}: a sequence of frames
+with the same skeleton ID.
+
+
+
+%%% Local Variables: 
+%%% mode: latex
+%%% TeX-master: "kinect"
+%%% End: