//Modeling transition patterns between events for temporal human action segmentation and classification
public static List <int[]> extractKeyPose_Angular(Instance inst)
{
List <int[]> list_keyPose = new List <int[]>();
List <UKI_DataDouble> list_dataAngles = new List <UKI_DataDouble>();
List <string> output_print = new List <string>();
foreach (UKI_DataRaw d in inst.getDataRaw(false))
{
UKI_DataDouble dataAngles = new UKI_DataDouble();
dataAngles.id = d.id;
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.Spine, d.ShoulderLeft, d.ElbowLeft));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.ShoulderLeft, d.ElbowLeft, d.WristLeft));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.Spine, d.ShoulderRight, d.ElbowRight));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.ShoulderRight, d.ElbowRight, d.WristRight));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.Spine, d.HipLeft, d.KneeLeft));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.HipLeft, d.KneeLeft, d.AnkleLeft));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.Spine, d.HipRight, d.KneeRight));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.HipLeft, d.KneeLeft, d.AnkleLeft));
dataAngles.data.Add(ThePostureCal.calAngle_3Points(d.Head, d.ShoulderCenter, d.Spine));
}
if (path_saveFolder != "")
{
output_print.Add("id,ShouldL,ElbowL,ShouldR,ElbowR,HipL,KneeL,HipR,KneeR,Neck");
output_print.AddRange(TheUKI.UKI_DataDouble_convertToListString(list_dataAngles));
TheTool.exportCSV_orTXT(path_saveFolder + @"/" + inst.name + ".csv", output_print, false);
}
return(list_keyPose);
}
public static List <int[]> extractKeyPose_SamAlgo(Instance inst)
{
List <int[]> list_keyPose_preCombine = new List <int[]>();
List <int[]> list_keyPose_afterCombine = new List <int[]>();
List <string> output_print = new List <string>();
List <string> output_print2 = new List <string>();
//----------
List <UKI_DataDouble> list_data = TheUKI.UKI_DataDouble_ChangeBwFrame(inst.getDataNorm());
List <UKI_DataDouble> list_data2 = TheUKI.UKI_DataDouble_MVA(list_data, 25);
list_keyPose_preCombine.AddRange(TheUKI.UKI_DataDouble_getKeyPose_CrossThreshold(list_data2, samAlgo_threshold));
list_keyPose_preCombine = TheTool.listArray_sort(list_keyPose_preCombine, 0);
list_keyPose_afterCombine = TheUKI.keyPose_Combine_longestPath(list_keyPose_preCombine);
if (path_saveFolder != "")
{
output_print.Add("id,Head,ShoulderCenter,ShoulderLeft,ShoulderRight,ElbowLeft,ElbowRight,WristLeft,WristRight,HandLeft,HandRight,Spine,HipCenter,HipLeft,HipRight,KneeLeft,KneeRight,AnkleLeft,AnkleRight,FootLeft,FootRight");
output_print.AddRange(TheUKI.UKI_DataDouble_convertToListString(list_data));
TheTool.exportCSV_orTXT(path_saveFolder + @"/" + inst.name + " 1 (Change).csv", output_print, false);
output_print2.Add("id,Head,ShoulderCenter,ShoulderLeft,ShoulderRight,ElbowLeft,ElbowRight,WristLeft,WristRight,HandLeft,HandRight,Spine,HipCenter,HipLeft,HipRight,KneeLeft,KneeRight,AnkleLeft,AnkleRight,FootLeft,FootRight");
output_print2.AddRange(TheUKI.UKI_DataDouble_convertToListString(list_data2));
TheTool.exportCSV_orTXT(path_saveFolder + @"/" + inst.name + " 2 (MVA).csv", output_print2, false);
TheUKI.exportKey(path_saveFolder + @"/" + inst.name + " 1 (uncombined).key", list_keyPose_preCombine);
TheUKI.exportKey(path_saveFolder + @"/" + inst.name + " 2 (combined).key", list_keyPose_afterCombine);
}
return(list_keyPose_afterCombine);
}