public IEnumerable <View> RunCompTrial(string stimulus, int cls, StreamWriter dataWriter, StreamWriter logWriter, List <EEGDataEntry> currentTrialEntries)
{
//Rest
yield return(new RestView(this.settings.BlinkTime));
//Fixate
yield return(new FixationView(this.settings.FixationTime));
//Generate stimulus view
var stimulusView = new TextView(stimulus, this.settings.DisplayTime, GUIUtils.Constants.DISPLAY_FONT_LARGE);
stimulusView.DoOnDeploy(c => this.dataSource.Marker = cls);
bool needToRerun = false;
stimulusView.DoOnFinishing(() =>
{
this.dataSource.Marker = EEGDataEntry.MARKER_DEFAULT;
lock (currentTrialEntries)
{
if (this.settings.ArtifactDetectionSettings.HasMotionArtifact(currentTrialEntries))
{
logWriter.WriteLine("Motion Artifact Detected");
needToRerun = true;
}
else
{
if (this.settings.SaveTrialData)
{
foreach (var entry in currentTrialEntries)
{
dataWriter.WriteLine(entry);
}
}
//Add training trials to the classifier
classifier.AddTrial(currentTrialEntries.AsIArray());
}
currentTrialEntries.Clear();
}
});
logWriter.WriteLine(stimulus);
yield return(stimulusView);
yield return(new TextView(stimulus + "*", settings.SpeakTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
//Check number of artifacts
if (needToRerun)
{
if (cls == 1)
{
numArt1++;
}
if (cls == 2)
{
numArt2++;
}
numArt++;
}
if (numArt > 12)
{
numArt = 0;
yield return(new TextView("Please keep face movements to a minimum", settings.InstructionTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
}
}
