public WallProjectionSample(WallProjectionSample wps)
{
this.x = wps.x;
this.y = wps.y;
this.z = wps.z;
this.sampledeviceIdentifier = "";
}
public WallProjectionAndPositionSample(WallProjectionSample wps, Point3D personPosition)
{
this.wallPositionX = wps.x;
this.wallPositionY = wps.y;
this.wallPositionZ = wps.z;
this.personPositionX = personPosition.X;
this.personPositionY = personPosition.Y;
this.personPositionZ = personPosition.Z;
this.sampledeviceIdentifier = wps.sampledeviceIdentifier;
}
public WallProjectionSample classify(WallProjectionSample sample)
{
if (learned != null)
{
return(learned.Model.Predict(sample));
}
else
{
return(null);
}
}
public void addSampleAndLearn(WallProjectionSample sample)
{
if (sample == null)
{
return;
}
trainingSamples.Add(sample);
if (trainingSetSize > 0 && trainingSamples.Count > trainingSetSize)
{
Random r = new Random();
int half = (int)Math.Floor((double)(trainingSamples.Count / 2));
int pos = r.Next(half);
trainingSamples.RemoveAt(pos);
}
trainClassifier();
}
public String calculateWallProjectionSampleAndLearn(Point3D[] vectors, String deviceIdentifier)
{
WallProjectionSample sample = sCalculator.calculateSample(vectors, deviceIdentifier);
if (sample.sampledeviceIdentifier.Equals("nullSample") == false)
{
XMLComponentHandler.writeWallProjectionSampleToXML(sample);
//Point3D p = new Point3D(vectors[2].X, vectors[2].Y, vectors[2].Z);
//XMLComponentHandler.writeWallProjectionAndPositionSampleToXML(new WallProjectionAndPositionSample(sample, p));
//XMLComponentHandler.writeSampleToXML(vectors, sample.sampledeviceIdentifier);
knnClassifier.addSampleAndLearn(sample);
return("Sample gesammelt und Klassifikator trainiert");
}
return("Es ist ein Fehler beim Erstellen des Samples aufgetreten, bitte versuchen sie es erneut!");
}
public WallProjectionSample calculateSample(Point3D[] vectors, String label)
{
Ray3D ray = new Ray3D((Point3D)vectors[0], (Point3D)vectors[1]);
Point3D samplePoint = intersectAndTestAllWalls(ray);
WallProjectionSample sample = new WallProjectionSample(new Point3D(), "nullSample");
if ((samplePoint.X.Equals(float.NaN) == false))
{
if (label.Equals(""))
{
sample = new WallProjectionSample(samplePoint);
}
else
{
sample = new WallProjectionSample(samplePoint, label);
}
return(sample);
}
return(sample);
}
public WallProjectionSample classify(WallProjectionSample sample)
{
WallProjectionSample predictedSample = knnClassifier.classify(sample);
return(predictedSample);
}
