public OnlineClassificationResult(ClassificationResult originalResult)
: base(
originalResult.Name,
originalResult.Probability,
originalResult.NodeParameters.ToArray(),
originalResult.AdditionalParameters)
{
}
private IClassificationResult RecognizeBlurryLineGesture(IList <Frame> frames)
{
if (!CheckTokenCriterion(frames, 1))
{
return(null);
}
Vertex startPoint, endPoint;
int startPointIndex = FindFirstFrameIndexWithCorrectCount(frames, 1, true);
int endPointIndex = FindFirstFrameIndexWithCorrectCount(frames, 1, false);
Touch t = frames[startPointIndex][0];
startPoint = new Vertex(t.X, t.Y);
int maxDistantBlobFrameIndex;
//search endpoint es point with max distance from start point
//accounts for misleading data and offers robust identification of lines with disadvantage of
//more wrong positive classifications
int maxDistantBlobIndex = GetBlobMaxDistantFromPointIndex(frames, startPoint, out maxDistantBlobFrameIndex);
if (startPointIndex == -1 || endPointIndex == -1 ||
startPointIndex == endPointIndex || maxDistantBlobFrameIndex == -1)
{
return(null);
}
t = frames[endPointIndex][0];
endPoint = new Vertex(t.X, t.Y);
IClassificationResult result = null;
if (CheckMaxDistanceFromLineKriterion(frames, startPoint, endPoint, MAXDISTFROMLINE) &&
MetricDistances.EuclideanDistance(startPoint, endPoint) > MINLINELENGTH)
{
//return RecognizeDirectionalLine(startPoint, endPoint);
result = new ClassificationResult(
"line",
0.9,
new Sample[] {
new Sample(DateTime.Now, startPoint),
new Sample(DateTime.Now, endPoint)
},
new Dictionary <String, Object>()
{
{ "FirstTouch", startPoint },
{ "LastTouch", endPoint },
{ "angle", GetAngle(startPoint, endPoint) }
});
}
return(result);
}