diff --git a/oldMcode/readKin.m b/oldMcode/readKin.m
new file mode 100644
index 0000000..12525cb
--- /dev/null
+++ b/oldMcode/readKin.m
@@ -0,0 +1,22 @@
+maxFile=5;
+
+% addpath('/home/hohlochj/masterarbeit/usedMcode')
+% pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
+pathToFile='/home/jph/Uni/masterarbeit/Block1_ReachingMovements/';
+
+[subjects,numbers]=namesAndNumbers(strcat(pathToFile,'dirs.txt'));
+
+tmp=cell([maxFile,1]);
+
+for i=1:size(subjects,2)
+    subject=subjects{i};
+    for number=numbers{i}
+        parfor j=1:maxFile
+            tmp{j}=csvread(strcat(pathToFile,sprintf('kin/%s_B1S00%iR0%i.txt',subject,number,j)),1,0);
+            tmp{j}=tmp{j}(:,1:4);
+        end
+        eval(sprintf('kin%s%i = tmp;',subject,number));
+    end
+end
+
+save(strcat(pathToFile,'kinematics.mat'))
\ No newline at end of file
diff --git a/text/TODO.txt b/text/TODO.txt
index f9d55da..1b5d439 100644
--- a/text/TODO.txt
+++ b/text/TODO.txt
@@ -1,6 +1,6 @@
-filtfilt
+filtfilt (done)
 
-Alle VP auf eciton
+Alle VP auf eciton (done)
 
 Matching Bewegung EEG
   - durch interpolation (ridge)
diff --git a/usedMcode/callAll.m b/usedMcode/callAll.m
index aad1a6f..95c2196 100644
--- a/usedMcode/callAll.m
+++ b/usedMcode/callAll.m
@@ -1,6 +1,6 @@
 addpath('/home/hohlochj/masterarbeit/usedMcode')
-pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/dirs.txt';
-% pathToFile='/home/jph/Uni/masterarbeit/Block1_ReachingMovements/dirs.txt';
+pathToFile='/nfs/wsi/ti/messor/hohlochj/origData/';
+% pathToFile='/home/jph/Uni/masterarbeit/Block1_ReachingMovements/';
 
 windowEMG=0.2;
 windowEEG=1;
@@ -14,7 +14,7 @@
 EEG=true;
 poolObj=parpool(32);
 
-[subjects,numbers]=structForAllDays(pathToFile);
+[subjects,numbers]=namesAndNumbers(pathToFile);
 j=0;
 for i=1:size(subjects,2)
     subject=subjects{i};
@@ -27,15 +27,15 @@
 meanAccurancysEEG=zeros([j,1]);
 
 j=1;
-parfor i=1:size(subjects,2)
+for i=1:size(subjects,2)
     subject=subjects{i};
     for number=numbers{i}
 %         fprintf('%s%i\n',subject,number);
-        readEEGEciton(subject,number,windowEMG,windowEEG,shift,5,7500,pburgOrder,minEEGFreq,maxEEGFreq);
+        readEEGEciton(pathToFile,subject,number,windowEMG,windowEEG,shift,5,7500,pburgOrder,minEEGFreq,maxEEGFreq);
         meanAccurancysEMG(j)=svmEciton(subject,number,false,k,maxExpC,maxPerClass);
         meanAccurancysEEG(j)=svmEciton(subject,number,EEG,k,maxExpC,maxPerClass);
         j=j+1;
     end
 end
-save(sprintf('/nfs/wsi/ti/messor/hohlochj/matlabData/%s_callAll.mat',datestr(datetime('now'))));
+%save(sprintf('/nfs/wsi/ti/messor/hohlochj/matlabData/%s_callAll.mat',datestr(datetime('now'))));
 delete(poolObj)
diff --git a/usedMcode/generateTrainingData.m b/usedMcode/generateTrainingData.m
index 6cc8601..f62bd88 100644
--- a/usedMcode/generateTrainingData.m
+++ b/usedMcode/generateTrainingData.m
@@ -1,4 +1,4 @@
-function [trainingDataEEG,trainingDataEMG] = generateTrainingData(signal,windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq)
+function [trainingDataEEG,trainingDataEMG,kinPerSec] = generateTrainingData(signal,kin,windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq)
     frequency=params.SamplingRate.NumericValue;
     signalWindowEMG=frequency*windowEMG;
     signalWindowEEG=frequency*windowEEG;
@@ -20,4 +20,6 @@
         tempEMG(i-32,:,:)=waveformLength(filter(C,D,filter(A,B,signal(:,i))),frequency,windowEMG,shift);
     end
     trainingDataEMG=permute(tempEMG,[2 1 3]);
+    
+    kinPerSec=shiftingKin(kin,frequency,windowEEG,shift);
 end
diff --git a/usedMcode/namesAndNumbers.m b/usedMcode/namesAndNumbers.m
new file mode 100644
index 0000000..877ef27
--- /dev/null
+++ b/usedMcode/namesAndNumbers.m
@@ -0,0 +1,21 @@
+function [names,numbers]=namesAndNumbers(pathToFile)
+    fileID=fopen(strcat(pathToFile,'dirs,txt');
+    text=textscan(fileID,'%s','Delimiter','\n');
+    text=text{1};
+    j=0;
+    k=0;
+    names=cell(1);
+    for i=1:size(text)
+        tmp=char(text(i));
+        name=strcat(tmp(1:2));
+        if (j~=0 && all(squeeze(names{j}==name)))
+            k=k+1;
+            numbers{j}(k)=str2double(tmp(end));
+        else
+            j=j+1;
+            names{j}=name;
+            k=1;
+            numbers{j}(k)=str2double(tmp(end));
+        end
+    end
+end
\ No newline at end of file
diff --git a/usedMcode/readEEGEciton.m b/usedMcode/readEEGEciton.m
index 69661ee..316f1a7 100644
--- a/usedMcode/readEEGEciton.m
+++ b/usedMcode/readEEGEciton.m
@@ -1,14 +1,16 @@
-function readEEGEciton(subject,number,windowEMG,windowEEG,shift,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq)
+function readEEGEciton(pathToFile, subject,number,windowEMG,windowEEG,shift,maxFile,threshold,pburgOrder,minEEGFreq,maxEEGFreq)
 
     %fprintf('start read %s%i %s\n',subject,number,datestr(datetime('now')));
 
     trainingDataEEGcell=cell(maxFile,1);
     trainingDataEMGcell=cell(maxFile,1);
     classesCell=cell(maxFile,1);
+    kin=cell([maxFile,1]);
 
     for i=1:maxFile
-        [sig, stat, params] = load_bcidat(sprintf('/nfs/wsi/ti/messor/hohlochj/origData/%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i));
-        [trainingDataEEGcell{i},trainingDataEMGcell{i}]=generateTrainingData(sig,windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq);
+        [sig, stat, params] = load_bcidat(strcat(pathToFile,sprintf('%s/%s_B100%i/%s_B1S00%iR0%i.dat',subject,subject,number,subject,number,i)));
+        tmpKin=csvread(strcat(pathToFile,sprintf('kin/%s_B1S00%iR0%i.txt',subject,number,i)),1,0);
+        [trainingDataEEGcell{i},trainingDataEMGcell{i},kin{i}]=generateTrainingData(sig,tmpKin,windowEMG,windowEEG,shift,params,pburgOrder,minEEGFreq,maxEEGFreq);
         classesCell{i}=stat.StimulusCode;
         %fprintf('%ith file processed\n',i)
     end
@@ -18,7 +20,8 @@
     trainingDataEEG=cell2mat(trainingDataEEGcell);
     trainingDataEMG=cell2mat(trainingDataEMGcell);
     classesMat=cell2mat(classesCell);
-    clear trainingDataEEGcell trainingDataEMGcell classesCell
+    kinMat=cell2mat(kin);
+    clear trainingDataEEGcell trainingDataEMGcell classesCell kin
 
     classificationWithPause=classifyAccordingToEMG(trainingDataEEG, trainingDataEMG,classesMat,shift,params.SamplingRate.NumericValue,threshold);
     clear classesMat
@@ -33,9 +36,10 @@
     trainingDataEEG=trainingDataEEG(smoothClassification~=-1,:,:);
     trainingDataEMG=trainingDataEMG(smoothClassification~=-1,:);
     classification=smoothClassification(smoothClassification~=-1);
+    kinematics=kinMat(smoothClassification~=-1,:);
 
     clear smoothClassification i
-    save(sprintf('/nfs/wsi/ti/messor/hohlochj/matlabData/%s%i200msWindowEMG1sWindowEEG200msShift1sPauseFreq0to200.mat',subject,number),'trainingDataEEG','trainingDataEMG','classification','-v7.3');
+    save(sprintf('/nfs/wsi/ti/messor/hohlochj/matlabData/%s%i200msWindowEMG1sWindowEEG200msShift1sPauseFreq0to200.mat',subject,number),'trainingDataEEG','trainingDataEMG','classification','kinematics','-v7.3');
     
 
     %fprintf('end read %s%i %s\n',subject,number,datestr(datetime('now')));
diff --git a/usedMcode/shiftingKin.m b/usedMcode/shiftingKin.m
new file mode 100644
index 0000000..4130c76
--- /dev/null
+++ b/usedMcode/shiftingKin.m
@@ -0,0 +1,6 @@
+function [kinPerSec]=shiftingKin(kin, window, shift)
+    kinPerSec=zeros(fix((max(kin(:,1))-window*1000)/(shift*1000)),3);
+    for j=1:fix((max(kin(:,1))-window*1000)/(shift*1000))
+        kinPerSec(j,:)=sum(diff(kin(kin(:,1)>=(j-1)*shift*1000 & kin(:,1)<=(j-1)*shift*1000+window*1000,2:4)));
+    end
+end
\ No newline at end of file
diff --git a/usedMcode/structForAllDays.m b/usedMcode/structForAllDays.m
deleted file mode 100644
index d8c5f3a..0000000
--- a/usedMcode/structForAllDays.m
+++ /dev/null
@@ -1,21 +0,0 @@
-function [names,numbers]=structForAllDays(dirs)
-    fileID=fopen(dirs);
-    text=textscan(fileID,'%s','Delimiter','\n');
-    text=text{1};
-    j=0;
-    k=0;
-    names=cell(1);
-    for i=1:size(text)
-        tmp=char(text(i));
-        name=strcat(tmp(1:2));
-        if (j~=0 && all(squeeze(names{j}==name)))
-            k=k+1;
-            numbers{j}(k)=str2double(tmp(end));
-        else
-            j=j+1;
-            names{j}=name;
-            k=1;
-            numbers{j}(k)=str2double(tmp(end));
-        end
-    end
-end
\ No newline at end of file