// Train the Hidden Markov Model
public void TrainHMM()
{
// First reset it back to default values
hmm.initialize();
// Construct a list of symbol sequences representing all the training gestures
List <List <int> > seqs = new List <List <int> >();
foreach (Gesture g in gc.gestures)
{
seqs.Add(q.QuantizeGesture(g));
}
// train these equences
hmm.train(seqs);
// recompute the a priori probability
// just compute the mean of all the probabilities of the training gestures
DefaultProbability = 0.0f;
foreach (Gesture g in gc.gestures)
{
DefaultProbability += MatchGesture(g);
}
DefaultProbability /= gc.gestures.Count;
}
