/// <summary>
/// calculates all limbs as defined by limb calculator
/// </summary>
/// <param name="sender">the object</param>
/// <param name="e">the routed event</param>
private void LimbOption_Click(object sender, RoutedEventArgs e)
{
/*Create an array of type tuple<double,double,List<List<Point3D>>>
* as limbs will all be calculated before displaying history loader
* results, not partic. efficient but fine given the restriction.*/
//gets all the planes by calling volume calculator
//kinect sensor check is here, can't use coord mapper otherwise.
if (KinectSensor.KinectSensors.Count > 0)
{
Tuple <List <List <Point3D> >, double> T = PlanePuller.pullAll(pcd);
List <List <Point3D> > planes = T.Item1;
/*Requires generated model, raw depth array and previous*/
List <Tuple <double, double, List <List <Point3D> > > > result = windowScanner.determineLimb(pcd, VolumeCalculator.calculateApproxWeight(volume));
if (windowHistory == null)
{
windowHistory = new HistoryLoader();
windowHistory.Owner = this;
windowHistory.history.Visibility = Visibility.Collapsed;
System.Diagnostics.Debug.WriteLine("History loader was null, now set.");
}
windowHistory.limbcircum.Visibility = Visibility.Visible;
windowHistory.history.Visibility = Visibility.Visible;
windowHistory.runtimeTab.SelectedIndex = 1;
windowHistory.Show();
windowHistory.visualiseLimbs(result, 1, 1);
}
else
{
MessageBoxResult result = System.Windows.MessageBox.Show(this, "You need a Kinect to perform this action.", "Kinect Sensor Missing", MessageBoxButton.OK, MessageBoxImage.Stop);
}
}
/// <summary>
/// returns an arbitary number (60) of planes, sliced height wise, which have been averaged, subsampled and clock sorted.
/// </summary>
/// <param name="pc">PointCloud</param>
/// <param name="arbNumber">int</param>
/// <returns>Tuple(List(List(Point3D)),double)</returns>
public static Tuple <List <List <Point3D> >, double> pullAll(PointCloud pc)
{
return(PlanePuller.pullAll(pc, planeNumber));
}
/// <summary>
/// runs the volume calculation subroutine on an open point cloud/patient
/// </summary>
/// <param name="sender">the object</param>
/// <param name="e">the routed event</param>
private void VolumeOption_Click(object sender, RoutedEventArgs e)
{
//Static call to volume calculation method, pass persistent point cloud object
if (windowHistory == null)
{
windowHistory = new HistoryLoader();
windowHistory.Owner = this;
windowHistory.history.Visibility = Visibility.Collapsed;
System.Diagnostics.Debug.WriteLine("History loader was null, now set.");
}
windowHistory.limbcircum.Visibility = Visibility.Collapsed;
Tuple <List <List <Point3D> >, double> T = PlanePuller.pullAll(pcd);
List <List <Point3D> > planes = T.Item1;
double increment = T.Item2;
volume = VolumeCalculator.volume1stApprox(planes, increment);
volume = Math.Round(volume, 4);
List <double> areaList = AreaCalculator.getAllAreas(planes);
windowHistory.areaList = areaList;
windowHistory.runtimeTab.SelectedIndex = 0;
windowHistory.visualisePlanes(planes, 1);
windowHistory.voloutput.Content = volume + "m\u00B3";
windowHistory.heightoutput.Content = HeightCalculator.getHeight(pcd) + "m";
windowHistory.scantime.Content = "Weight (Est): " + VolumeCalculator.calculateApproxWeight(volume) + "kg";
windowHistory.scanfileref.Content = "BMI Measure: " + VolumeCalculator.calculateBMI(HeightCalculator.getHeight(pcd), VolumeCalculator.calculateApproxWeight(volume));
windowHistory.scanvoxel.Content = "Siri (%BF): " + VolumeCalculator.calculateSiri(volume, VolumeCalculator.calculateApproxWeight(volume), HeightCalculator.getHeight(pcd)) + "%";
//show Runtime viewer (aka results,history)
windowHistory.Show();
List <Tuple <DateTime, double> > records = this.getTimeStampsAndVals((int)Convert.ToInt64(windowPatient.patientIDExisting.Content));
int historyLookBack = 5;
if ((records != null) && (records.Count > 0))
{
int size = Math.Min(records.Count, historyLookBack);
KeyValuePair <DateTime, double>[] records2 = new KeyValuePair <DateTime, double> [size];
for (int i = 0; i < size; i++)
{
records2[i] = new KeyValuePair <DateTime, double>(records[i].Item1, records[i].Item2);
}
//set change in volume... may need refinement
if (size != 0)
{
double change = 0;
change = (volume - records[records.Count - 1].Item2) / records[records.Count - 1].Item2;//may need to become records[records.Count-2].Item2 later
windowHistory.volchangeoutput.Content = Math.Round(100 * change, 2) + "%";
}
else
{
windowHistory.volchangeoutput.Content = "Not Enough Data";
windowHistory.volchart.Visibility = Visibility.Collapsed;
}
//setData
((LineSeries)(windowHistory.volchart.Series[0])).ItemsSource = records2;
}
else
{
windowHistory.volchangeoutput.Content = "Not Enough Data";
windowHistory.volchart.Visibility = Visibility.Collapsed;
}
}
public static Tuple <double, double, List <List <Point3D> > > calculateLimbBounds(PointCloud pc, Dictionary <String, double[]> jointDepths, int limb, double weight)
{
//Calculate limb bounds based on limb choice
double finalCircum = 0.0;
double numPlanes = 0.0;
Tuple <List <List <Point3D> >, double> T = new Tuple <List <List <Point3D> >, double>(null, 0);
//premodify limb circum factors with discovered weight
if (weight < 60)
{
ArmFactorL = 1.21;
LegFactorL = 3.89;
ArmFactorR = 1.02;
LegFactorR = 2.96;
ChestFactor = 1.62;
ShoulderFactor = 1.43;
WaistFactor = 6.63;
}
else if (weight >= 60 && weight < 90)
{
ArmFactorL = 1.07;
LegFactorL = 3.10;
ArmFactorR = 1.05;
LegFactorR = 2.95;
ChestFactor = 1.42;
ShoulderFactor = 1.41;
WaistFactor = 5.94;
}
else if (weight >= 90)
{
ArmFactorL = 0.91;
LegFactorL = 3.39;
ArmFactorR = 0.89;
LegFactorR = 3.51;
ChestFactor = 1.46;
ShoulderFactor = 1.53;
WaistFactor = 4.529;
}
switch (limb)
{
case 1:
//SHOULDERS (1)
xmin = jointDepths["ShoulderRight"][1];
xmax = jointDepths["ShoulderLeft"][1];
ymax = jointDepths["ShoulderCenter"][2];
ymin = jointDepths["Spine"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
premodifier = ShoulderFactor;
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
break;
case 2:
//ARM_LEFT (2)
xmin = jointDepths["HipLeft"][1];
xmax = jointDepths["WristLeft"][1] + ((jointDepths["WristLeft"][1] - jointDepths["HipLeft"][1]) / 4);
ymax = jointDepths["ShoulderLeft"][2];
ymin = jointDepths["WristLeft"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
premodifier = ArmFactorL;
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
break;
case 3:
//ARM_RIGHT (3)
xmin = jointDepths["WristRight"][1] - ((jointDepths["HipRight"][1] - jointDepths["WristRight"][1]) / 4);
xmax = jointDepths["HipRight"][1];
ymax = jointDepths["ShoulderRight"][2];
ymin = jointDepths["WristRight"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
premodifier = ArmFactorR;
break;
case 4:
//CHEST(4)
xmin = jointDepths["ShoulderRight"][1];
xmax = jointDepths["ShoulderLeft"][1];
ymax = jointDepths["ShoulderCenter"][2];
ymin = jointDepths["Spine"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
premodifier = ChestFactor;
break;
case 5:
//WAIST(5)
xmin = jointDepths["HipRight"][1];
xmax = jointDepths["HipLeft"][1];
ymax = jointDepths["HipCenter"][2];
ymin = jointDepths["HipLeft"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
premodifier = WaistFactor;
break;
case 6:
//LEFT_LEG(6)
xmin = jointDepths["HipCenter"][1];
xmax = jointDepths["HipLeft"][1];
ymax = jointDepths["HipLeft"][2];
ymin = jointDepths["KneeLeft"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
premodifier = LegFactorL;
break;
case 7:
//RIGHT_LEG(7)
xmin = jointDepths["HipRight"][1];
xmax = jointDepths["HipCenter"][1];
ymax = jointDepths["HipRight"][2];
ymin = jointDepths["KneeRight"][2];
zmin = pc.getzMin();
zmax = pc.getzMax();
bounds = new double[] { xmin, ymin, zmin, xmax, ymax, zmax };
//translate bounds according to pointcloud data points
System.Diagnostics.Debug.WriteLine("Bounds:" + xmin + ", " + ymin + ", " + zmin + ", " + xmax + ", " + ymax + ", " + zmax);
premodifier = LegFactorR;
break;
default: break;
}
try
{
//Calculate circumference
segmentedPointcloud = pc.getSubRegion(bounds);
T = PlanePuller.pullAll(segmentedPointcloud, 2);
finalCircum = CircumferenceCalculator.calculate(T.Item1, 1);
numPlanes = UnitConvertor.convertPCM(T.Item2, 1);
//Premodify the circumference calculation with the fudge factors. Convert into CM from M.
finalCircum = Math.Round(finalCircum * 100, 5);
finalCircum = premodifier * finalCircum;
}
catch (Exception err)
{
System.Diagnostics.Debug.WriteLine("(Subregion): Subregion issue - " + err.ToString());
}
//results printed out before historyloader so we can inspect all is well
System.Diagnostics.Debug.WriteLine("***Limb Circumference Results***");
System.Diagnostics.Debug.WriteLine("Limb chosen: " + limb);
System.Diagnostics.Debug.WriteLine("Circumference approx: " + finalCircum);
System.Diagnostics.Debug.WriteLine("Number of planes: " + numPlanes);
return(new Tuple <double, double, List <List <Point3D> > >(finalCircum, numPlanes, T.Item1));
}