private void ComputeSuperFeatures()
{
foreach (IFeature f in SubFeatures)
{
FastQueue <double> CurrentQueue = SubResults[f];
List <double> CurrentData = CurrentQueue.Peek(SuperWindowLength);
CurrentQueue.Delete(SuperWindowShift);
DataProvider.Data = CurrentData;
List <IFeature> CurrentSuperFeatures = SuperFeatures[f];
foreach (IFeature superf in CurrentSuperFeatures)
{
superf.Compute();
FinalFeatures.Add(superf.Feature);
}
}
if (SuperFeaturesComputed != null)
{
SubFeaturesComputedEventArgs e = new SubFeaturesComputedEventArgs();
e.ComputedFeatures = FinalFeatures;
SuperFeaturesComputed.Invoke(this, e);
}
Classify();
AllFeatures.Add(new List <double>(FinalFeatures));
FinalFeatures.Clear();
if (SubResults.First().Value.Count > SuperWindowLength)
{
ComputeSuperFeatures();
}
}
public AbstractClassifier()
{
Results = new List <EmoClassifierResult>();
SubData = new FastQueue <double>(500000);
SubFeatures = new List <IFeature>();
SubResults = new Dictionary <IFeature, FastQueue <double> >();
FinalFeatures = new List <double>();
SuperFeatures = new Dictionary <IFeature, List <IFeature> >();
this.SubWindowLength = 1102; // 44100 [samples per second] * 0.025 [25 milisecond interval]
this.SubWindowShift = 661; // 44100 [samples per second] * 0.015 [15 milisecond interval]
this.SuperWindowLength = 80; // 44100 [samples per second] / 1102 [SubFeatures per second] * 2 [seconds]
this.SuperWindowShift = 40; // 44100 [samples per second] / 1102 [SubFeatures per second] * 1 [seconds]
//Napravi feature
MakeFeatures();
foreach (IFeature f in SubFeatures)
{
SubResults.Add(f, new FastQueue <double>(10000));
}
}
