public override DistanceResult Recognize(Gesture gesture, out List <string> errors)
{
errors = new List <string>();
Dictionary <string, DistanceResult> results = new Dictionary <string, DistanceResult>();
foreach (string key in Gesture.parameterKeys)
{
UnivariateAlgorithm[] univariateAlgorithms = parametersToAlgorithms[key];
ParameterValues parameterValues = gesture[key];
double[][] normalizedValues = parameterValues.GetNormalizedValues();
normalizedValues = normalizedValues.Transpose();
DistanceResult resultsParameter = null;
for (int i = 0; i < parameterValues.Dimension; i++)
{
List <string> parameterErrors;
DistanceResult tempResult = univariateAlgorithms[i].Recognize(normalizedValues[i], out parameterErrors);
errors.Append(parameterErrors);
if (resultsParameter == null)
{
resultsParameter = tempResult;
}
else
{
resultsParameter = resultsParameter.Intersect(tempResult);
}
}
results.Add(key, resultsParameter);
}
DistanceResult possibleResults = null;
List <int> impossibleResults = new List <int>();
foreach (string key in Gesture.parameterKeys)
{
if (possibleResults == null)
{
possibleResults = results[key];
}
else
{
List <int> keys = possibleResults.Keys.ToList();
foreach (int result in keys)
{
if (!results[key].ContainsKey(result))
{
impossibleResults.Add(result);
}
else
{
possibleResults[result] = possibleResults[result] + results[key][result];
}
}
}
}
foreach (int classIndex in impossibleResults)
{
possibleResults.Remove(classIndex);
}
if (possibleResults.Count == 0)
{
possibleResults.Add(-1, 0);
}
return(possibleResults);
}