public static Results EvaluateContinuousRecognizer(DeviceType device)
{
// Get the list of participants 15 through 24
List <int> participants = new List <int> {
15, 16, 17, 18, 19, 20, 21, 22, 23, 24
};
Results all_results = new Results();
all_results.Reset();
long one = DateTime.Now.Ticks / TimeSpan.TicksPerMillisecond; // at beginning
Results user_results = new Results();
for (int pid = 0; pid < participants.Count; pid++)
{
Debug.Log("Running Yeah evaluation on Participant " + participants[pid]);
user_results.Reset();
for (int ii = 0; ii < 10; ii++)
{
Results tempResults = EvaluateSession(device, participants[pid]);
tempResults.PrintF();
user_results.AppendResults(tempResults);
}
all_results.AppendResults(user_results);
Debug.Log("Results for Participant " + participants[pid]);
user_results.PrintF();
}
long two = DateTime.Now.Ticks / TimeSpan.TicksPerMillisecond; // at beginning
Debug.Log(string.Format("Time elapsed {0} seconds", (two - one) / 1000));
Debug.Log("Overall results");
all_results.PrintF();
return(all_results);
}
void Update()
{
if (eStatus == EvaluationStatus.TRAINING)
{
if (segmentorType == SegmentorType.MACHETE)
{
Prepare();
}
else if (segmentorType == SegmentorType.WINDOW)
{
PrepareWindow();
}
eStatus = EvaluationStatus.EVALUATING;
}
if (eStatus == EvaluationStatus.EVALUATING)
{
if (frame_idx > 1)
{
// Time since last frame
timer += Time.deltaTime; // Total time
timeStats_UserDependent.add(Time.deltaTime);
timeStats_Overall.add(Time.deltaTime);
}
if (segmentorType == SegmentorType.MACHETE)
{
Step();
}
else if (segmentorType == SegmentorType.WINDOW)
{
StepWindow();
}
frame_idx += 1;
if (frame_idx == frames.Count)
{
eStatus = EvaluationStatus.SUMMARIZING;
}
}
if (eStatus == EvaluationStatus.SUMMARIZING)
{
Summarize();
eStatus = EvaluationStatus.TRANSITION;
}
if (eStatus == EvaluationStatus.TRANSITION)
{
iteration += 1;
Debug.Log(string.Format("Iteration {2} User# {0}, (Participant {1}) Completed.\n",
currentParticipantIndex, currentParticipantID, iteration));
iteration_results.PrintF();
user_results.AppendResults(iteration_results);
// PrintTimes();
iteration_results.Reset();
// If all iterations are done, continue to next participant
if (iteration == iterationCount)
{
// Save results into a file and to all results
logResultsToFile("stats.csv", user_results, timeStats_UserDependent, "PID " + currentParticipantID);
all_results.AppendResults(user_results);
iteration = 0;
currentParticipantIndex += 1;
timeStats_UserDependent.reset();
user_results.Reset();
}
// If all participants done, we're finished
if (currentParticipantIndex == participants.Count)
{
Debug.Log("FINISHED");
eStatus = EvaluationStatus.FINISHED;
all_results.PrintF();
logResultsToFile("stats.csv", all_results, timeStats_Overall, "global");
timeStats_Overall.reset();
return;
}
eStatus = EvaluationStatus.TRAINING;
}
if (eStatus == EvaluationStatus.FINISHED)
{
}
}
