diff --git a/Unity/OpenSeeExpression.cs b/Unity/OpenSeeExpression.cs
index 2cef9ef..83ca321 100644
--- a/Unity/OpenSeeExpression.cs
+++ b/Unity/OpenSeeExpression.cs
@@ -41,7 +41,7 @@ public class OpenSeeExpression : MonoBehaviour
     [Tooltip("When enabled, the expression data will be saved to the specified filename and this flag is set back to false.")]
     public bool save = false;
     [Header("Information")]
-    [Tooltip("This is the of expressions for which calibration data was collected. The maximum number is 25.")]
+    [Tooltip("This is the of expressions for which calibration data was collected. The maximum number is 10.")]
     public int expressionNumber = 0;
     [Tooltip("This is the percentage of necessary training data collected for the current expression.")]
     public float percentRecorded = 0.0f;
@@ -99,7 +99,7 @@ public class OpenSeeExpression : MonoBehaviour
     private Dictionary<string, List<float[]>> expressions;
     private SVMModel model = null;
     private string[] classLabels = null;
-    private int maxSamples = 400; // Allows 25 expressions without exceeding 10000 rows in total for SVM training, which is a commonly seen upper limit.
+    private int maxSamples = 1000; // Allows 10 expressions without exceeding 10000 rows in total for SVM training, which is a commonly seen upper limit.
     // rightEyeOpen, leftEyeOpen, translation, rawQuaternion, rawEuler, confidence, points/(width, height), points3D
     private int cols = 1 + 1 + 3 + 4 + 3 + /*66 + 2 * 66  +*/ 3 * 66;
     private double lastCapture = 0.0;
@@ -197,8 +197,8 @@ public class OpenSeeExpression : MonoBehaviour
             }
         }
         int classes = keys.Count;
-        if (classes < 2 || classes > 25) {
-            Debug.Log("[Training error] The number of expressions that can be used for training is " + classes + ", which is either below 2 or higher than 25.");
+        if (classes < 2 || classes > 10) {
+            Debug.Log("[Training error] The number of expressions that can be used for training is " + classes + ", which is either below 2 or higher than 10.");
             return false;
         }
         keys.Sort();
@@ -301,7 +301,7 @@ public class OpenSeeExpression : MonoBehaviour
             recordingSkip = 1;
         if (calibrationExpression == "")
             return false;
-        if (expressions.ContainsKey(calibrationExpression) || expressions.Keys.Count < 25) {
+        if (expressions.ContainsKey(calibrationExpression) || expressions.Keys.Count < 10) {
             OpenSee.OpenSeeData[] openSeeData = openSee.trackingData;
             if (openSeeData == null)
                 return false;
diff --git a/Unity/Plugins/SVMModel.cs b/Unity/Plugins/SVMModel.cs
index 944cc9d..7ad3ad3 100644
--- a/Unity/Plugins/SVMModel.cs
+++ b/Unity/Plugins/SVMModel.cs
@@ -12,7 +12,7 @@ namespace OpenSee {
 public class SVMModel {
 	#region DllImport
 	[DllImport("SVMModel", CallingConvention = CallingConvention.Cdecl)]
-	private static extern System.IntPtr trainModel(float[] features, float[] labels, int rows, int cols);
+	private static extern System.IntPtr trainModel(float[] features, float[] labels, int rows, int cols, float C);
 
 	[DllImport("SVMModel", CallingConvention = CallingConvention.Cdecl)]
 	private static extern void predict(System.IntPtr model, float[] features, [Out] float[] predictions, int rows);
@@ -143,7 +143,7 @@ public class SVMModel {
 
         maxClasses = max + 1;
         this.cols = cols;
-        model = trainModel(features, labels, rows, cols);
+        model = trainModel(features, labels, rows, cols, 32f);
         haveModel = true;
 
         return true;
diff --git a/Unity/Plugins/SVMModel.dll b/Unity/Plugins/SVMModel.dll
index b78b629..831c85c 100644
Binary files a/Unity/Plugins/SVMModel.dll and b/Unity/Plugins/SVMModel.dll differ