added classification, results are bad...

toni/octave/genfeatures.m

@@ -0,0 +1,67 @@
+display("Generating Features")
+
+#load and plot raw data
+#{
+data structure of cellarray classes:
+classes[1 to 5]
+  samples[1 to trainsetPerClass]
+    raw[1 to 3] 
+      Accel[start:pEnd]
+      Gyro[start:pEnd]
+      Magnet[start:pEnd]
+      
+access the cells using classes{u}.samples{v}.raw{w}
+#}
+source("functions.m");
+
+classes = {};
+classes = getRawTrainData();
+
+#outPath = "/home/toni/Documents/handygames/HandyGames/toni/img/raw"
+#plotData(classes, outPath);
+
+#calc and plot filtered data
+filteredClasses = filterData(classes);
+
+#outPath = "/home/toni/Documents/handygames/HandyGames/toni/img/filtered";
+#plotData(filteredClasses, outPath);
+
+#create sliding windows and add 6 additional signals pca and magnitude
+#{
+data structure of windowedClasses:
+classes[1 to 5]
+  samples[1 to trainsetPerClass]
+    raw[1 to 15] <--- 15 different signals
+      3x WindowsAccel (X, Y, Z)
+        Win, Win, Win, Win ... <--- single matrices
+      3x WindowsGyro (X, Y, Z)
+        Win, Win, Win, Win ... <--- single matrices
+      3x WindowsMagnet (X, Y, Z)
+        Win, Win, Win, Win ... <--- single matrices
+        
+    ---> add 6 additional sensors: pca and magnitude    
+      3x WindowsPCA (Accel, Gyro, Magnet)
+        Win, Win, Win, Win ... <--- single matrices
+      3x WindowsMagnitude (Accel, Gyro, Magnet)
+        Win, Win, Win, Win ... <--- single matrices  
+        
+access the cells using classes{u}.samples{v}.raw{w}.wins{}
+
+pca uses the eigenvector with the heighest eigenvalue as axis and projects the signals onto it for each sensor. 
+magnitude is calculated using sqrt(x^2 + y^2 + z^2) for each sensor. 
+#}
+windowedClasses = windowData(filteredClasses);
+
+#calculated features for the 5 signales (x, y, z, MG, PCA) of a sensor
+#{
+data structure of features
+[classLabel, binMeans, rms, psd, windowMean, windowSTD, windowVariance, windowKurtosis, windowIQR]
+#}
+features = featureCalculation(windowedClasses);
+
+#save features
+save features.txt features;
+display("saved features into features.txt");
+
+
+