diff --git a/callAll.m b/callAll.m
index c36e4cd..b43c83c 100644
--- a/callAll.m
+++ b/callAll.m
@@ -20,8 +20,8 @@
     for number=numbers(i,:)
         %fprintf('%s%i\n',subject,number);
         readEEGEciton(subject,number,windowEMG,windowEEG,shift,5,7500,pburgOrder,minEEGFreq,maxEEGFreq);
-        svmEciton(subject,number,false,k,maxExpC,maxPerClass);
-        svmEciton(subject,number,EEG,k,maxExpC,maxPerClass);
+        svmEciton(subject,number,false,k,maxExpC,maxPerClass,poolObj);
+        svmEciton(subject,number,EEG,k,maxExpC,maxPerClass,poolObj);
     end
 end
 delete(poolObj)
diff --git a/svmEciton.m b/svmEciton.m
index 1741128..e9c04b1 100644
--- a/svmEciton.m
+++ b/svmEciton.m
@@ -1,4 +1,4 @@
-function svmEciton(subject,number,EEG,k,maxExpC,maxPerClass)
+function svmEciton(subject,number,EEG,k,maxExpC,maxPerClass,poolObj)
     load(sprintf('/nfs/wsi/ti/messor/hohlochj/matlabData/%s%i200msWindowEMG1sWindowEEG200msShift1sPauseFreq0to200.mat',subject,number));
     addpath('/nfs/wsi/ti/messor/hohlochj/libsvm/matlab');
     %k=2;
@@ -12,6 +12,8 @@
     end
     clear trainingDataEEG;
     clear trainingDataEMG;
+    addAttachedFiles(poolObj,'classification');
+    addAttachedFiles(poolObj,'trainingData');
 
     accurancy=zeros(k,3);
     maxC=zeros(k,1);