public RecognizerResult RecognizeSingleGesture(InputGesture g)
{
var features = mValidFeatures.Take(mValidFeatures.Count - 1).Select(x => Features.AllFeatures.GestureFeatures[x]).ToList();
//Console.WriteLine("{0} features to be checked", features.Count);
var results = new List <GestureWeight>();
foreach (var kvp in mWeights)
{
GestureWeight gw = new GestureWeight()
{
name = kvp.Key
};
for (int i = 0; i < features.Count; i++)
{
float fres = features[i].QueryGesture(g);
gw.weight += kvp.Value[i] * fres;
}
gw.weight += kvp.Value[mValidFeatures.Count - 1];
gw.weight = Utility.Sigmoid(gw.weight);
results.Add(gw);
}
results.Sort();
return(new RecognizerResult()
{
Gesture1 = results[0].name, Confidence1 = (float)results[0].weight,
Gesture2 = results[1].name, Confidence2 = (float)results[1].weight,
Gesture3 = results[2].name, Confidence3 = (float)results[2].weight
});
}
public RecognizerResult RecognizeSingleGesture(InputGesture g)
{
List <Features.IGestureFeature> features = Features.AllFeatures.GestureFeatures;
var results = new List <GestureWeight>();
foreach (var kvp in mWeights)
{
GestureWeight gw = new GestureWeight()
{
name = kvp.Key
};
gw.weight = kvp.Value[features.Count];
for (int i = 0; i < features.Count; i++)
{
float fres = features[i].QueryGesture(g);
gw.weight += kvp.Value[i] * fres;
}
gw.weight = Math.Exp(gw.weight);
results.Add(gw);
}
double total_weight = 0;
for (int i = 0; i < results.Count; i++)
{
total_weight += results[i].weight;
}
for (int i = 0; i < results.Count; i++)
{
results[i].weight = 1.0 * results[i].weight / total_weight;
}
results.Sort();
return(new RecognizerResult()
{
Gesture1 = results[0].name, Confidence1 = (float)results[0].weight,
Gesture2 = results[1].name, Confidence2 = (float)results[1].weight,
Gesture3 = results[2].name, Confidence3 = (float)results[2].weight
});
}
public RecognizerResult RecognizeSingleGesture(InputGesture g)
{
var results = new List <GestureWeight>();
foreach (var kvp in mWeights)
{
GestureWeight gw = new GestureWeight()
{
name = kvp.Key
};
for (int i = 0; i < mFeatures.Count; i++)
{
bool fp = mFeatures[i].QueryGesture(g);
if (fp)
{
gw.weight += kvp.Value[i * 2];
}
else
{
gw.weight += kvp.Value[i * 2 + 1];
}
}
results.Add(gw);
}
results.Sort();
results.Reverse();
float norm = (float)mFeatures.Count;
return(new RecognizerResult()
{
Gesture1 = results[0].name, Confidence1 = results[0].weight / norm,
Gesture2 = results[1].name, Confidence2 = results[1].weight / norm,
Gesture3 = results[2].name, Confidence3 = results[2].weight / norm
});
}
