public List <UKI_DataMovement> getDataMove()
{
if (this.data_movement_adj.Count == 0)
{
UKI_Offline uki = new UKI_Offline();
uki.UKI_OfflineProcessing(getDataRaw(true), -1);//previously use -1
this.data_movement_adj = TheUKI.adjustMovementData(uki.data.data_movement);
}
return(this.data_movement_adj);
}
public void offline_process(UKI_Offline mr)
{
offline_skel_current = mr.current_data;
offline_updateSkel(offline_skel_current);
//if (ready)
//{
offline_calMove();
calSum();
calSumAvg();
//}
}
//Motion Recognition
private void butMR_test_Click(object sender, RoutedEventArgs e)
{
try
{
String path_RawData;
foreach (DataRow r in dataTable.Rows)
{
try
{
path_RawData = r[col_path].ToString();
string folderName = TheTool.getFileName_byPath(path_RawData);
UKI_Offline mr = new UKI_Offline();
mr.UKI_OfflineProcessing(TheUKI.csv_loadFileTo_DataRaw(path_RawData, 0), 1);
mr.data.exportFile(folderName, "UKI_", true, true, false);
}
catch (Exception ex) { TheSys.showError(r[col_path].ToString() + " : " + ex.ToString()); }
}
System.Windows.MessageBox.Show(@"Save to file", "Export Data");
}
catch (Exception ex) { TheSys.showError(ex); }
}
//Motion Analysis on 1 File
//All Data (Whole Sequence) - All Motion
//Output: Matrix
static public string motionAnalysis(String path_load, String path_save, List <m_Motion> list_motions)
{
string currentFileName = TheTool.getFileName_byPath(path_load);
string matrix_data = currentFileName;
List <UKI_DataRaw> list_raw = TheUKI.csv_loadFileTo_DataRaw(path_load, 0);
List <logDetection> log_list = new List <logDetection>();//keep output summary
//--- Preprocess to obtain BasePosture Data
UKI_Offline mr = new UKI_Offline();
mr.UKI_OfflineProcessing(list_raw, 0);
List <UKI_Data_AnalysisForm> data = TheUKI.getData_AnalysisForm(mr.data.data_raw, mr.data.data_bp);
//--- Analysis Motion by Motion
foreach (m_Motion motion in list_motions)
{
Boolean detected = TheRuleTester.testDetectMotion(data, motion.inputs);
logDetection log = TheRuleTester.temp_log;
//
log.info = motion.name + " ( " + log.info + " )";
if (detected)
{
log.info = "[" + log.detectAt + "] " + log.info;
}
else
{
log.info = "[X] " + log.info;
}
log_list.Add(log);
matrix_data += "," + TheTool.convertBoolean_01(detected);
}
//--------------------------------
TheSys.showError("File: " + currentFileName);
foreach (logDetection s in log_list.OrderBy(o => o.detectAt).ThenBy(o => o.num_pose))
{
TheSys.showError(s.info);
}
TheSys.showError("---------------------");
return(matrix_data);
}