diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index e799768..1ea8bd8 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -89,9 +89,12 @@
         number=numbersMat(j);
         subject=subjectsForNumbers{j};
         savePath=readAll(pathToFile,subject,number,windowEMG,windowEEG,shiftEMG,shiftEEG,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq,pause,noLFsamples,EMGChannels,noSynergies);
-%         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset);
-%         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset);
-%         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset);
+%         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset,true);
+%         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset,true);
+%         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset,true);
+%         [meanAccurancysEMG(j),maxCEMG(j,:),cmScaledEMG(j,:,:)]=svmEciton(savePath,'EMG',k,maxExpC,maxPerClass,eegOffset,false);
+%         [meanAccurancysEEG(j),maxCEEG(j,:),cmScaledEEG(j,:,:)]=svmEciton(savePath,'EEG',k,maxExpC,maxPerClass,eegOffset,false);
+%         [meanAccurancysLF(j),maxCLF(j,:),cmScaledLF(j,:,:)]=svmEciton(savePath,'LF',k,maxExpC,maxPerClass,eegOffset,false);
 %         [correlationEMGkin(j,:),maxRidgeParamIndexEMGkin(j,:,:)]=ridgeCV(savePath,'EMG','kin',k,ridgeParams,eegOffset);
 %         [correlationEEGkin(j,:),maxRidgeParamIndexEEGkin(j,:,:)]=ridgeCV(savePath,'EEG','kin',k,ridgeParams,eegOffset);
 %         [correlationLFkin(j,:),maxRidgeParamIndexLFkin(j,:,:)]=ridgeCV(savePath,'LF','kin',k,ridgeParams,eegOffset);
diff --git a/usedMcode/svmEciton.m b/usedMcode/svmEciton.m
index 4b98740..7c688e4 100644
--- a/usedMcode/svmEciton.m
+++ b/usedMcode/svmEciton.m
@@ -1,4 +1,4 @@
-function [meanAccurancy,maxC, cmScaled]= svmEciton(savePath,EEG,k,maxExpC,maxPerClass,eegOffset)
+function [meanAccurancy,maxC, cmScaled]= svmEciton(savePath,EEG,k,maxExpC,maxPerClass,eegOffset,moveRest)
     load(savePath)
     %    fprintf('%i,%i,%i',size(trainingDataEMG,1),size(trainingDataEEG,1),size(classification,1))
     addpath('/nfs/wsi/ti/messor/hohlochj/libsvm/matlab');
@@ -22,6 +22,9 @@
     clear kinematics;
     clear synergies*;
     
+    if moveRest
+        classification=classification~=0;
+    end
     
     accurancy=zeros(k,3);
     maxC=zeros(k,1);