private void deal(params ActionData[] actions)
{
try
{
if (actions.Length < 2)
{
return;
}
for (int i = 1; i < actions.Length; i++)
{
double[,] similarityMatrix = ActionMatchingUtil.computeSimilarityMatrix(actions[0], actions[i]);
DTWResult dtwResult = DTWUtil.DTW(similarityMatrix);
StringBuilder sb = new StringBuilder();
sb.Append("result:\n");
sb.Append("Similarity:").Append(dtwResult.SumSimilarity).Append(", AvgSimilarity:").Append(dtwResult.AvgSimilarity).Append(", PathLength:").Append(dtwResult.PathLength).Append('\n');
sb.Append(dtwResult.PathStr);
LogUtil.log(sb.ToString());
}
}
catch (Exception e)
{
LogUtil.log(e.Message);
}
}
private void match()
{
ActionData action1 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 55, 113);
ActionData action2 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 69, 107);
ActionData action3 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 140, 181);
ActionData action4 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 211, 278);
ActionData action5 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 695, 734);
ActionData action6 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517658799185/", 70, 115);
ActionData action7 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 103, 132);
deal(action1, action2, action3, action4, action5, action6, action7);
}
public static MyActionTraining createActionTraining()
{
ActionData action1 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659759365/", 69, 107);
ActionData action2 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517658799185/", 70, 115);
ActionData action3 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517659205489/", 190, 270);
ActionData action4 = ActionMatchingUtil.loadActionDataFromFile(Constant.BASE_PATH + "/ActionData/1517658315751/", 240, 280);
MyActionTraining training = new MyActionTraining();
training.addActions(action1, action2, action3, action4);
return(training);
}
public bool onData(double[][] vectorData, Action <int> action)
{
Posture.Posture currentPosture = new Posture.Posture(Posture.PostureType.Both, vectorData);
if (!preStart)
{
if (Posture.PostureRecognition.matches(currentPosture, startPosture))
{
vectorList.AddLast(vectorData);
preStart = true;
prePosture = currentPosture;
LogUtil.log("动作预开始");
}
return(false);
}
if (!start && !Posture.PostureRecognition.matches(currentPosture, startPosture))
{
start = true;
action(1);
LogUtil.log("动作开始");
}
if (!start)
{
return(false);
}
vectorList.AddLast(vectorData);
if (Posture.PostureRecognition.matches(currentPosture, prePosture))
{
matchCount++;
}
else
{
matchCount = 0;
prePosture = currentPosture;
}
if (matchCount > 15)
{
LogUtil.log("动作结束");
int length = vectorList.Count - 15;
List <double[][]> data = new List <double[][]>(length);
int i = 0;
foreach (double[][] v in vectorList)
{
if (i++ == length)
{
break;
}
data.Add(v);
}
ActionData acData = ActionMatchingUtil.loadActionData(data);
LogUtil.log(actionData.dataList.Count + "," + acData.dataList.Count);
bool result = ActionMatchingUtil.match(actionData, acData);
init(actionData);
action(0);
return(result);
}
return(false);
}
