public static string Classify(bool useRubine, float duration, bool righthandedness, List <float> SpeakerAngles, PointCollection pointHist, StylusPointCollection S, List <List <int> > hist, List <List <int> > ihist)
{
// Convert all parameters to format used in GestureTests
List <Vector2> InterpretedPoints = new List <Vector2>();
List <Vector2> StylusPoints = new List <Vector2>();
List <Vector2> VelocityHistory = new List <Vector2>();
List <Vector2> InverseVelocityHistory = new List <Vector2>();
foreach (Point P in pointHist)
{
InterpretedPoints.Add(new Vector2((float)P.X, (float)P.Y));
}
foreach (StylusPoint P in S)
{
StylusPoints.Add(new Vector2((float)P.X, (float)P.Y));
}
for (int i = 0; i < hist[0].Count; i++)
{
VelocityHistory.Add(new Vector2(hist[0][i], hist[1][i]));
InverseVelocityHistory.Add(new Vector2(ihist[0][i], ihist[1][i]));
}
// Create a new Sample, compute the features, and classify
GS = new GestureSample(GestureTests.Types.GestureType.unknown, righthandedness, duration, SpeakerAngles, InterpretedPoints, StylusPoints, VelocityHistory, InverseVelocityHistory);
GS.ComputeFeatures(GestureFeatures.PointsStroke);
if (useRubine)
{
return(EC.Recognizer.Classify(GS).ToString());
}
WriteARFF();
Instances test = new Instances(new java.io.FileReader("outfile.arff"));
test.setClassIndex(0);
double clsLabel = cls.classifyInstance(test.instance(0));
test.instance(0).setClassValue(clsLabel);
// Return the appropriate label
return(((GestureType2D)((int)clsLabel + 1)).ToString());
}
private GestureSample Load3DSample(string filename)
{
GestureSample sample = null;
GestureType gesture = GestureType.unknown;
float duration = float.NaN;
bool rightHanded = false;
List <Vector3> interpretedPoints = new List <Vector3>();
List <Vector3> velocities = new List <Vector3>();
List <Vector3> inverseVelocities = new List <Vector3>();
List <Vector3> strokePoints = new List <Vector3>();
List <float> angles = new List <float>();
List <float> elevations = new List <float>();
List <float[]> raw_data = new List <float[]>();
try
{
StreamReader reader = File.OpenText(filename);
while (!reader.EndOfStream)
{
string line = reader.ReadLine();
//end of file
if (line == null)
{
continue;
}
//skip lines starting with '#' are comments
if (line.StartsWith("#"))
{
continue;
}
//ignore empty lines
if (line == "")
{
continue;
}
//split the line by the 'space' character
string[] tokens = line.Split(" ".ToCharArray());
//the first token provides information about the type of data to follow
switch (tokens[0])
{
case "GestureName:":
gesture = ReadGestureType(tokens[1]);
break;
case "Duration(ms):":
duration = float.Parse(tokens[1]);
break;
case "Handedness:":
rightHanded = (tokens[1] == "right");
break;
case "SpeakerAngles:":
int numAngles = int.Parse(tokens[1]);
for (int i = 0; i < numAngles; ++i)
{
string angle = reader.ReadLine();
string[] theta = angle.Split(" ,".ToCharArray());
angles.Add(float.Parse(theta[0]));
}
break;
case "SpeakerElevations:":
int numEle = int.Parse(tokens[1]);
for (int i = 0; i < numEle; ++i)
{
string angle = reader.ReadLine();
string[] ele = angle.Split(" ,".ToCharArray());
elevations.Add(float.Parse(ele[0]));
}
break;
case "InterpretedPoints:":
int numPoints = int.Parse(tokens[1]);
//read the points from succeeding lines.
for (int i = 0; i < numPoints; ++i)
{
string point = reader.ReadLine();
string[] xyz = point.Split(" ,".ToCharArray());
interpretedPoints.Add(new Vector3(float.Parse(xyz[0]), float.Parse(xyz[1]), float.Parse(xyz[2])));
}
break;
case "StrokePoints:":
int numStrokePoints = int.Parse(tokens[1]);
//read datapoints from succeeding lines.
for (int i = 0; i < numStrokePoints; ++i)
{
string point = reader.ReadLine();
string[] xyz = point.Split(" ,".ToCharArray());
strokePoints.Add(new Vector3(float.Parse(xyz[0]), float.Parse(xyz[1]), float.Parse(xyz[2])));
}
break;
case "Velocities:":
int numVelocities = int.Parse(tokens[1]);
//read datapoints from succeeding lines.
for (int i = 0; i < numVelocities; ++i)
{
string point = reader.ReadLine();
string[] xyz = point.Split(" ,".ToCharArray());
velocities.Add(new Vector3(float.Parse(xyz[0]), float.Parse(xyz[1]), float.Parse(xyz[2])));
}
break;
case "InverseVelocities:":
int numInverseVelocities = int.Parse(tokens[1]);
//read datapoints from succeeding lines.
for (int i = 0; i < numInverseVelocities; ++i)
{
string point = reader.ReadLine();
string[] xyz = point.Split(" ,".ToCharArray());
inverseVelocities.Add(new Vector3(float.Parse(xyz[0]), float.Parse(xyz[1]), float.Parse(xyz[2])));
}
break;
case "RawData:":
int numRawData = int.Parse(tokens[1]);
//read datapoints from succeeding lines.
for (int i = 0; i < numRawData; ++i)
{
string point = reader.ReadLine();
raw_data.Add(Array.ConvertAll(point.Split(','), float.Parse));
}
break;
}
}
if (strokePoints.Count == 0)
{
strokePoints = Generate3DStroke(interpretedPoints);
}
reader.Close();
sample = new GestureSample(gesture, rightHanded, duration, angles, elevations, interpretedPoints, strokePoints, velocities, inverseVelocities, raw_data);
sample.ComputeFeatures(Config.FeaturesToUse);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
Console.WriteLine(e.StackTrace);
}
return(sample);
}