private void NormalizeAllMovements(ISetOfMovements setOfMovements, double newLength)
{
foreach (var mov in setOfMovements.Movements)
{
Movements.Add(new UniversalMovement(mov, g => new NormalizedGraph(g, newLength)));
}
}
public MeanGraphView(IMovement meanMovement, ISetOfMovements baseSensors)
{
InitializeComponent();
this.meanMovement = meanMovement;
this.baseSetOfMovements = baseSensors;
CreateComponents();
}
public IVarinceData CompudeVariance(IMovement meanMovement, ISetOfMovements setOfMovements)
{
InitialiseData(meanMovement, setOfMovements);
ComputeDeviations();
ComputeNormalizedDeviations();
ComputeVar();
ComputeNormalizedVar();
return(DealockDataAndReturnThem());
}
private void InitialiseData(IMovement meanMovement, ISetOfMovements setOfMovements)
{
varianceData = new VarianceData();
varianceData.MeanMovement = meanMovement;
graphLength = meanMovement.Sensors.First().EMG.Length; //all of them has to have same length
varianceData.NormalizedSetOfMovements = new NormalizedSetOfMovements(setOfMovements, graphLength);
int numOfMovements = setOfMovements.Movements.Count;
varianceData.Deviations = new double[numOfMovements];
varianceData.NormalizedDeviations = new double[numOfMovements];
}
private void CreateOrReplaceExperiment(ISetOfMovements setOfMovements)
{
string newName = ((RawExperiment)cbSelectedExperiment.SelectedItem).Name;
for (int i = 0; i < experiments.Experiments.Count; i++)
{
if (experiments.Experiments[i].Name == newName) //experiment already exists
{
experiments.Experiments.RemoveAt(i);
continue;
}
}
experiments.Experiments.Add(new SimpleExperiment(newName, setOfMovements.Movements));
}
private void bCreateMovements_Click(object sender, EventArgs e)
{
RawExperiment selectedExp = (RawExperiment)cbSelectedExperiment.SelectedItem;
IMovementsCreationManager movCr = new FormMovementCreatorManager();
ISetOfMovements setOfMovements = movCr.CreateSetOfMovements(new SimpleSetOfSensors(selectedExp.SensorData));
if (setOfMovements == null) //user hasnt created set of movements
{
return;
}
CreateOrReplaceExperiment(setOfMovements);
bMeanComputation.Enabled = selectedExp.MovementsCreated
= setOfMovements != null && setOfMovements.Movements.Count != 0;
RefreshComboBox();
}
public IMovement GetMeanMovement()
{
ISetOfMovements normalizedMovements = GetNormalizedMovements();
return(new MeanMovement(normalizedMovements));
}
public MeanMovementManager(ISetOfMovements movements)
{
this.baseSetOfMovements = movements;
}
public NormalizedSetOfMovements(ISetOfMovements setOfMovements, double newLength)
{
Movements = new List <IMovement>();
NormalizeAllMovements(setOfMovements, newLength);
}
public MeanMovement(ISetOfMovements set)
{
Init(set.Movements);
}
private void bFinish_Click(object sender, EventArgs e)
{
Result = movementsCreator.GetCreatedSetOfMovements();
this.Close();
}
