public string GetGestureSetNameMatch(PointF[] Points)
{
// Update gesture analyzer with latest gestures and get gesture match from current points array
// Comparison results are sorted descending from highest to lowest probability
gestureAnalyzer.PointPatternSet = Gestures.ToArray();
PointPatternMatchResult[] comparisonResults = gestureAnalyzer.GetPointPatternMatchResults(Points);
// Exit if we didn't find a high probability match
if (comparisonResults == null || comparisonResults.Where(ppmr => ppmr.Probability >= 75).Count() <= 0)
{
return(null); // No close enough match. Do nothing with drawn gesture
}
// Grab top result from gesture comparison
return(comparisonResults.First().Name);
}
public string GetGestureSetNameMatch(List <List <Point> > points, List <IGesture> sourceGestures, out List <IGesture> matchResult)//PointF[]
{
if (points.Count == 0 || sourceGestures == null || sourceGestures.Count == 0)
{
matchResult = null; return(null);
}
// Update gesture analyzer with latest gestures and get gesture match from current points array
// Comparison results are sorted descending from highest to lowest probability
var gestures = sourceGestures.Where(g => g.PointPatterns.Length > _gestureLevel && g.PointPatterns[_gestureLevel].Points != null && g.PointPatterns[_gestureLevel].Points.Count == points.Count).ToList();
List <PointPatternMatchResult>[] comparisonResults = new List <PointPatternMatchResult> [points.Count];
for (int i = 0; i < points.Count; i++)
{
gestureAnalyzer.PointPatternSet = gestures.Select(gesture => new PointPatternAnalyzer.PointsPatternSet(gesture.Name, gesture.PointPatterns[_gestureLevel].Points[i].ToArray()));
comparisonResults[i] = new List <PointPatternMatchResult>(gestures.Count);
comparisonResults[i].AddRange(gestureAnalyzer.GetPointPatternMatchResults(points[i].ToArray()));
}
List <int> numbers = new List <int>(gestures.Count);
for (int j = 0; j < gestures.Count; j++)
{
numbers.Add(j);
}
numbers = comparisonResults.Aggregate(numbers, (current, matchResultsList) => current.Where(i => matchResultsList[i].Probability > ProbabilityThreshold).ToList());
List <IGesture> result = new List <IGesture>();
List <KeyValuePair <string, double> > recognizedResult = new List <KeyValuePair <string, double> >();
foreach (var number in numbers)
{
var gesture = gestures[number];
if (gesture.PointPatterns.Length > _gestureLevel + 1)
{
result.Add(gesture);
}
else
{
double probability = comparisonResults.Sum(matchResultsList => matchResultsList[number].Probability);
recognizedResult.Add(new KeyValuePair <string, double>(gesture.Name, probability));
}
}
matchResult = result.Count == 0 ? null : result;
return(recognizedResult.Count == 0 ? null : recognizedResult.OrderByDescending(r => r.Value).First().Key);
}