// constructor
public AvatarSimilarity(AvatarContainer selfIn, AvatarContainer teacherIn, BodyWeightsType bodyNrIn, double penaltyIn, bool activateKalmanIn, double kalmanQIn, double kalmanRIn)
{
// assign
///////////////////////////////////////////////////////////////////////////////////
self = selfIn;
teacher = teacherIn;
bodyNr = bodyNrIn;
penalty = penaltyIn;
kalmanQ = kalmanQIn;
kalmanR = kalmanRIn;
stickNumber = 0;
activateKalman = activateKalmanIn;
// initialize
///////////////////////////////////////////////////////////////////////////////////
// define all stick names (should be actually moved to a parameter file)
//stickNames = SimilarityConst.StickNames;
stickNumber = SimilarityConst.StickNumber;
// Initialize adaptive weighting
stickWeight = Enumerable.Repeat(1.0, stickNumber).ToList();
// weight of each stick
stickWeightBody = SimilarityConst.GetStickWeights(bodyNr);
// correct each default stick weight
stickWeightAdapt = Enumerable.Repeat(1.0, stickNumber).ToList();
// calculate final stick weight
stickWeightTotal = 0.0;
for (int i = 0; i < stickNumber; i++)
{
stickWeightTotal += stickWeightBody[i] * stickWeightAdapt[i];
}
// set default similarity each stick
similarityStick = Enumerable.Repeat(0.0, stickNumber).ToList();
// generate kalman filters
kalmanFilter = new List <KalmanFilter>(new KalmanFilter[stickNumber]);
for (int i = 0; i < stickNumber; i++)
{
kalmanFilter[i] = new KalmanFilter(kalmanQ, kalmanR);
kalmanFilter[i].Reset(1.0);
}
// total score
totalScore = 0.0;
}
public void UpdatePart(BodyWeightsType bodyNrIn, List <double> weights_score)
{
// update a color for a specific body part bodyNrIn. Sets grad color to "1" and blue to "0"
List <double> weights = SimilarityConst.GetStickWeights(bodyNrIn);
for (var i = 0; i < weights.Count; i++)
{
if (weights[i] == 0)
{
SetColor(stickparts[i], neutralColor);
}
if (weights[i] == 1)
{
set_grad_color(stickparts[i], incorrectColor, correctColor, weights_score[i]);
}
}
}