Exemplo n.º 1
0
        /// <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);
            }
        }
Exemplo n.º 2
0
 /// <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));
 }
Exemplo n.º 3
0
        /// <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;
            }
        }
Exemplo n.º 4
0
        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));
        }