private EEGDataListener GetTrialDataListener(out BlockingQueue <IArrayView <EEGDataEntry> > trialQueue)
{
var entryList = new List <EEGDataEntry>();
var queue = new BlockingQueue <IArrayView <EEGDataEntry> >();
trialQueue = queue;
var invoker = new SingleThreadedInvoker();
return(new EEGDataListener(invoker,
null,
entries =>
{
foreach (var entry in entries)
{
// got a new marker, so flush!
if (entryList.Count > 0 && entry.Marker != entryList[0].Marker)
{
queue.Enqueue(entryList.AsIArray());
entryList = new List <EEGDataEntry>(entryList.Count);
}
// save stimulus entries
if (entry.HasStimulusMarker())
{
entryList.Add(entry);
}
}
},
null,
() => invoker.Dispose()));
}
private EEGDataListener GetRawDataRecordingListener()
{
if (!this.Settings.SaveRawData)
{
return(null);
}
StreamWriter writer;
try
{
writer = new StreamWriter(
Path.Combine(this.Settings.OutputFolder, GetFileName(RAW_DATA_BASE_NAME, this.startTime, GUIUtils.Strings.CSV_EXTENSION)),
false);
}
catch (Exception)
{
GUIUtils.Alert("Failed to save raw data to " + this.Settings.OutputFolder, MessageBoxIcon.Warning);
return(null);
}
var invoker = new SingleThreadedInvoker();
return(new EEGDataListener(invoker,
null,
data =>
{
try { writer.WriteLine(data.ConcatToString(Environment.NewLine)); }
catch (Exception) { }
},
null,
() => { writer.Dispose(); invoker.Dispose(); }));
}
/// <summary>
/// The enumerator implementation
/// </summary>
public override IEnumerator <View> GetEnumerator()
{
IViewResult result;
using (var logWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "compexp_log_" + settings.SubjectName + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".txt")))
using (var dataWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "compexp_" + settings.SubjectName + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".csv")))
{
for (int i = 0; i < 2; i++)
{
yield return(new ChoiceView(new string[]
{
"Ready for Study Phase"
}, out result));
//Present half the stimuli for study
for (int j = 0 + i * (presentation.Count / 2); j < (presentation.Count / 2) * (i + 1); j++)
{
yield return(new TextView(presentation[j], this.settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(this.settings.RestTime));
}
//Begin the practice phase
yield return(new ChoiceView(new string[]
{
"Start EEG Recording"
}, out result)
{
Text = "Click When Ready"
});
var connected = true; // assume it's connected
using (var invoker = new SingleThreadedInvoker())
using (var connectionListener = new EEGDataListener(invoker, s => connected = true, null, s => connected = false))
{
// listen for a broken connection
this.dataSource.AddListener(connectionListener);
foreach (var view in this.GetViews(invoker, logWriter, dataWriter, i))
{
if (connected)
{
yield return(view);
}
else
{
GUIUtils.Alert("Lost connection to headset!");
break;
}
}
this.dataSource.RemoveListener(connectionListener);
}
}
}
}
/// <summary>
/// Yields the experiment as a sequence of views
/// </summary>
public override IEnumerator <View> GetEnumerator()
{
// wait to begin
yield return(new ChoiceView(new string[] { "Click anywhere to begin" }));
var connected = new VolatileBool(true); // assume it's connected
using (var invoker = new SingleThreadedInvoker())
using (var connectionListener = new EEGDataListener(invoker, s => connected.value = true, null, s => connected.value = false))
using (var logger = this.LogExperimentAndGetLogger()) // log the experiment
using (var trialLogger = this.GetTrialWriter()) // logs each trial
{
// create the runtime
var runtime = new Runtime(this)
{
Classifiers = this.ClassificationSchemes.Select(cs => new ClassifierManager(cs)).ToIArray(),
Logger = logger,
TrialLogger = trialLogger,
};
// listen for a broken connection
this.DataSource.AddListener(connectionListener);
foreach (var view in this.GetViews(runtime))
{
if (connected.value)
{
yield return(view);
}
else
{
GUIUtils.Alert(runtime.LogLine("Lost connection to headset!"));
break;
}
}
this.DataSource.RemoveListener(connectionListener);
}
}
public static void TestInvoker()
{
var range = Arrays.Range(0, 1, 100);
var list = new List <int>();
IAsyncResult result = null;
using (var sti = new SingleThreadedInvoker())
{
foreach (int i in range)
{
int j = i;
if (j % 2 == 0)
{
result = sti.BeginInvoke(new Action(() =>
{
list.Add(j);
}), new object[0]);
}
else
{
sti.Invoke(new Action(() =>
{
list.Add(j);
}), new object[0]);
}
}
// wait for all to finish
sti.EndInvoke(result);
}
if (!list.SequenceEqual(range))
{
throw new Exception("SingleThreadedInvoker failed!");
}
}
/// <summary>
/// The enumerator implementation
/// </summary>
public override IEnumerator <View> GetEnumerator()
{
IViewResult result;
Random numgen = new Random();
int a, b;
RandomizedQueue <string> pres = new RandomizedQueue <string>();
RandomizedQueue <string> usedPres = new RandomizedQueue <string>();
pres.AddRange(presentation);
using (var logWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "krmon_log_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".txt")))
using (var anslog = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "krmon_anslog_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".txt")))
using (var dataWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "krmon_data_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".csv")))
{
//Alternating Study and Test Phases
for (int i = 0; i < settings.NumRounds; i++)
{
yield return(new ChoiceView(new string[]
{
"Start Study Phase"
}, out result)
{
Text = "Click When Ready"
});
while (pres.Count > 0)
{
var stimulus = pres.RemoveRandom();
yield return(new TextView(stimulus, this.settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(this.settings.RestTime));
usedPres.Add(stimulus);
}
pres.AddRange(usedPres);
usedPres.Clear();
a = numgen.Next(4, 13);
b = numgen.Next(4, 13);
yield return(new VocabView(string.Format("{0} x {1} = {2}", a, b, a * b), "Verify", settings.DisplayTime, settings.DelayTime, true, anslog, out result));
yield return(new ChoiceView(new string[]
{
"Start Test Phase"
}, out result)
{
Text = "Click When Ready"
});
var connected = true; // assume it's connected
using (var invoker = new SingleThreadedInvoker())
using (var connectionListener = new EEGDataListener(invoker, s => connected = true, null, s => connected = false))
{
// listen for a broken connection
this.dataSource.AddListener(connectionListener);
foreach (var view in this.GetViews(invoker, anslog, logWriter, dataWriter, i, pres))
{
if (connected)
{
yield return(view);
}
else
{
GUIUtils.Alert("Lost connection to headset!");
break;
}
}
this.dataSource.RemoveListener(connectionListener);
}
}
}
}
/// <summary>
/// The enumerator implementation
/// </summary>
public override IEnumerator <View> GetEnumerator()
{
IViewResult result;
Random numgen = new Random();
RandomizedQueue <StudyTestPair> study = new RandomizedQueue <StudyTestPair>();
RandomizedQueue <StudyTestPair> quiz = new RandomizedQueue <StudyTestPair>();
RandomizedQueue <StudyTestPair> done = new RandomizedQueue <StudyTestPair>();
string filename = "adapt_data_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".csv";
using (var logWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "adapt_log_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".txt")))
//If using MATLAB reference, the datawriter path must match the location of your MATLAB code
using (var dataWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), filename)))
{
yield return(new ChoiceView(new string[]
{
"Ready for Training Study Phase"
}, out result));
//Present competition stimuli for study
for (int j = 0; j < presentation.Count; j++)
{
yield return(new TextView(presentation[j], this.settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(this.settings.RestTime));
}
//Begin the practice phase
yield return(new ChoiceView(new string[]
{
"Start Training EEG Recording"
}, out result)
{
Text = "Click When Ready"
});
var compconnected = true; // assume it's connected
using (var compinvoker = new SingleThreadedInvoker())
using (var compconnectionListener = new EEGDataListener(compinvoker, s => compconnected = true, null, s => compconnected = false))
{
// listen for a broken connection
this.dataSource.AddListener(compconnectionListener);
foreach (var view in this.GetCompViews(compinvoker, logWriter, dataWriter))
{
if (compconnected)
{
yield return(view);
}
else
{
GUIUtils.Alert("Lost connection to headset!");
break;
}
}
this.dataSource.RemoveListener(compconnectionListener);
}
//Check that the person has sufficient training data
if (numArt1 > 24 || numArt2 > 24)
{
yield return(new TextView("Error: Weeping Angel", settings.InstructionTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
}
//MATLAB REFERENCE
//matlab.Execute("cd c:\\Users\\Nicole\\Documents\\Matlab\\Thesis\\Adapt");
//matlab.Execute("classifier = wekacomptrain('"+ filename + "');");
yield return(new ChoiceView(new string[]
{
"Start Study Phase"
}, out result)
{
Text = "Click When Ready"
});
while (pres.Count > 0)
{
var stimulus = pres.RemoveRandom();
yield return(new TextView(stimulus.test + "\n" + stimulus.answer, this.settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(this.settings.RestTime));
quiz.Add(stimulus);
}
yield return(new ChoiceView(new string[]
{
"Start Test Phase"
}, out result)
{
Text = "Click When Ready"
});
var connected = true; // assume it's connected
using (var invoker = new SingleThreadedInvoker())
using (var connectionListener = new EEGDataListener(invoker, s => connected = true, null, s => connected = false))
{
// listen for a broken connection
this.dataSource.AddListener(connectionListener);
foreach (var view in this.GetViews(invoker, logWriter, dataWriter, study, quiz, done, numgen))
{
if (connected)
{
yield return(view);
}
else
{
GUIUtils.Alert("Lost connection to headset!");
break;
}
}
this.dataSource.RemoveListener(connectionListener);
}
}
}
/// <summary>
/// The enumerator implementation
/// </summary>
public override IEnumerator <View> GetEnumerator()
{
IViewResult result;
yield return(new ChoiceView(new string[]
{
"Start Training Phase"
}, out result)
{
Text = "Click When Ready"
});
for (int j = 0; j < comp.Count; j++)
{
yield return(new TextView(comp[j], settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(settings.RestTime));
}
yield return(new ChoiceView(new string[]
{
"Begin Testing"
}, out result)
{
Text = "Click When Ready"
});
//Display each block of stimuli
for (int j = 0; j < (settings.NumBlocks * 2); j++)
{
int limit = blocks[j].Count;
for (int k = 0; k < limit; k++)
{
//Rest
yield return(new RestView(this.settings.BlinkTime));
//Fixate
yield return(new FixationView(this.settings.FixationTime));
var stimulus = blocks[j].RemoveRandom();
//Generate stimulus view
yield return(new TextView(stimulus, settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new TextView(stimulus + "*", settings.PresentationTime / 2, GUIUtils.Constants.DISPLAY_FONT_LARGE));
}
yield return(new ChoiceView(new string[]
{
"Ready for next block"
}, out result));
}
RandomizedQueue <string> pres = new RandomizedQueue <string>();
RandomizedQueue <string> usedPres = new RandomizedQueue <string>();
RandomizedQueue <StudyTestPair> studySoon = new RandomizedQueue <StudyTestPair>();
RandomizedQueue <StudyTestPair> testSoon = new RandomizedQueue <StudyTestPair>();
RandomizedQueue <StudyTestPair> testLate = new RandomizedQueue <StudyTestPair>();
pres.AddRange(presentation);
testSoon.AddRange(stp);
yield return(new ChoiceView(new string[]
{
"Start Initial Study Phase"
}, out result)
{
Text = "Click When Ready"
});
while (pres.Count > 0)
{
var stimulus = pres.RemoveRandom();
yield return(new TextView(stimulus, this.settings.PresentationTime, GUIUtils.Constants.DISPLAY_FONT_LARGE));
yield return(new RestView(this.settings.RestTime));
usedPres.Add(stimulus);
}
pres.AddRange(usedPres);
using (var logWriterV = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "userctrl_logv_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".txt")))
using (var logWriter = new StreamWriter(Path.Combine(Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments), "userctrl_log_" + settings.SubjectName + "_" + DateTime.Now.ToString("MM dd yyyy H mm ss") + ".csv")))
{
yield return(new ChoiceView(new string[]
{
"Start Practice Phase"
}, out result)
{
Text = "Click When Ready"
});
using (var invoker = new SingleThreadedInvoker())
{
foreach (var view in this.GetViews(invoker, logWriterV, logWriter,
studySoon, testSoon, testLate))
{
yield return(view);
}
}
}
}
