\chapter{Results}
\label{chp:results}
\section{Classification}
    \subsection{Comparison of methods of recording}
        The different methods of recording (EEG, EMG and Low frequencies) also differ in the results. An ANOVA gives a $p$-Value of $2.09\cdot 10^{-8}$ ($F=108.29$) for all classifications done on 4 different movements and rest.
        \begin{figure}
            \centering
            \includegraphics[width=0.9\textwidth]{pictures/results/classEEGemgLF.png}
            \caption{EEG, EMG and LF compared based on classification accuracy with 5 classes}
            \label{fig:classEEGemgLF}
        \end{figure}
        The mean classification accuracys for the default run are are given in Table~\ref{tab:accs}.
        \begin{table}
            \centering
            \begin{math}
                \begin{array}
                    {r||c|c|c|c}
                    &\text{EMG}&\text{EEG}&\text{LF}&\text{chance}\\\hline
                    mean&60.4&40.4&32.7&25\\
                    std&7.97&2.27&3.35\\
                    max&71.9&46.7&43.4\\
                    min&35.7&37.2&26.2
                \end{array}
            \end{math}
            \caption{Accuracys for the different methods of recording in default configuration}
            \label{tab:accs}
        \end{table}
        % \begin{itemize}
        %     \item[EMG:] $60.4\%$
        %     \item[EEG:] $40.4\%$
        %     \item[LF:] $32.7\%$
        %     \item[chance:] $25\%$
        % \end{itemize}
    \subsection{EMG}
        In figure~\ref{fig:overviewEMG} the different settings for classification based on EMG-data are shown. Default has values as in \ref{mat:default}. The runs with pause leave out the data 1 second before the movement begins (cf. \ref{mat:pause}).
        \begin{figure}
            \centering
            \includegraphics[width=\textwidth]{pictures/results/overviewEMG.png}
            \caption{Classification with EMG-data}
            \label{fig:overviewEMG}
        \end{figure}
        % \begin{figure}
        %     \centering
        %     \includegraphics[width=\textwidth]{pictures/results/pauseEMG.png}
        %     \caption{EMG-data without and with pause}
        %     \label{fig:pauseEMG}
        % \end{figure}
        When calculating an ANOVA on the data with and without pause we get a $p$-Value of $3.9\cdot 10^{-9}$ ($F=41.68$).
    \subsection{EEG}
        In figure~\ref{fig:overviewEEG} the different settings for classification based on EEG-data are shown. Default has values as in \ref{mat:default}. The runs with pause leave out the data 1 second before the movement begins (cf. \ref{mat:pause}). Runs with offset have an offset of 1 or 2 (cf. \ref{mat:offset}).
        \begin{figure}
            \centering
            \includegraphics[width=\textwidth]{pictures/results/overviewEEG.png}
            \caption{Classification with EEG-data}
            \label{fig:overviewEEG}
        \end{figure}
    \subsection{Low Frequencies}
        In figure~\ref{fig:overviewLF} the different settings for classification based on LowFrequency(LF)-data are shown. Default has values as in \ref{mat:default}. The runs with pause leave out the data 1 second before the movement begins (cf. \ref{mat:pause}). Runs with offset have an offset of 1 or 2 (cf. \ref{mat:offset}).
        \begin{figure}
            \centering
            \includegraphics[width=\textwidth]{pictures/results/overviewLF.png}
            \caption{Classification with LF-data}
            \label{fig:overviewLF}
        \end{figure}
