private Trajectory readTrajectory(string inputFileName, out GaitFile file)
{
var input = (EinputMode)Enum.Parse(typeof(EinputMode), ConfigurationManager.AppSettings["inputMode"], true);
var projection = (EprojectionMode)Enum.Parse(typeof(EprojectionMode), ConfigurationManager.AppSettings["projectionMode"], true);
file = new GaitFile();
Trajectory trajectory = new Trajectory();
Frame fr;
file.ReadFile(inputFileName);
trajectory.points = new List <Point>();
long frameNum = -1;
while ((fr = file.GetNextFrame(frameNum)) != null)
{
trajectory.add(fr);
frameNum = fr.FrameNumber;
}
if (projection == EprojectionMode.ground)
{
trajectory.rotateTrajectory();
}
trajectory.samplingRate = (input == EinputMode.wii) ? 100 : 30;
return(trajectory);
}
private void RecordTimes_SelectionChanged(object sender, SelectionChangedEventArgs e)
{
detailsTable.Clear();
timeLine.Points.Clear();
trajectory.points.Clear();
frames.Clear();
if (e.AddedItems.Count == 0)
{
return;
}
string filename = ((AnalysisFile)e.AddedItems[0]).FullName;
var metrics = Metrics.load(filename);
foreach (Metric m in metrics)
{
var row = detailsTable.NewRow();
row["Metric"] = m.name;
row["Value"] = m.value.ToString(m.formatting);
row["Typical Range"] = String.Format("{0} - {1}", m.lowerTypicalRange.ToString(m.formatting), m.higherTypicalRange.ToString(m.formatting));
row["Preference"] = Enum.GetName(typeof(Epreference), m.preferedRange);
row["Description"] = m.description;
bool inRange = false;
switch (m.preferedRange)
{
case Epreference.noPreference: inRange = true; break;
case Epreference.higherIsBetter: if (m.value >= m.lowerTypicalRange)
{
inRange = true;
}
break;
case Epreference.lowerIsBetter: if (m.value <= m.higherTypicalRange)
{
inRange = true;
}
break;
case Epreference.inRange: if (m.value <= m.higherTypicalRange && m.value >= m.lowerTypicalRange)
{
inRange = true;
}
break;
}
row["In Range"] = inRange;
detailsTable.Rows.Add(row);
}
string prefix = System.IO.Path.GetFileName(filename);
if (!Tools.parseFileName(prefix, out string identifier, out string exercise, out DateTime dt))
{
return;
}
var fileName = System.IO.Path.Combine(System.IO.Path.GetDirectoryName(filename), identifier) + "_" + dt.ToString(Tools.dateFormat) + "_" + exercise + "_kinect.xml";
gaitFile = new GaitFile();
gaitFile.ReadFile(fileName);
long frameNum = -1;
Frame fr;
while ((fr = gaitFile.GetNextFrame(frameNum)) != null)
{
if (trajectory.add(fr))
{
frames.Add(fr);
}
frameNum = fr.FrameNumber;
}
trajectory.samplingRate = 30;
if (applyLowPassFilterToTimeDomain)
{
trajectory.filter();
}
var analyzer = Exercises.GetAnalyzer(exercise);
var segments = analyzer.segmentTrajectory(trajectory);
int segmentCounter = 0;
foreach (var segment in segments)
{
segmentCounter++;
var name = Enum.GetName(typeof(Analyzer.ESegmentType), segment.Item2);
var str = String.Format("{0}) {1}", segmentCounter, name);
foreach (var p in segment.Item1.points)
{
frameToSegmentName[p.timeStamp] = str;
}
}
frameSelector.Maximum = trajectory.points.Count - 1;
frameSelector.Value = 0;
frameSelector.TickFrequency = 300; // ten seconds
DrawTimeDomainGraph();
}
