/// <summary>
/// Builds the application view for the Adaptive Application
/// </summary>
public void BuildAdaptiveView()
{
this.SuspendLayout();
this.Text = GUIUtils.Strings.APP_NAME;
this.Size = new System.Drawing.Size(1500, 750);
//Settings panels
var config = ConfigurationPanel.Create<AdaptiveSettings>();
//var artifactConfig = ConfigurationPanel.Create<ArtifactDetectionSettings>();
var stimulipanel = new AdaptiveSelectorPanel() { Dock = DockStyle.Fill };
// classifier settings
var classifierPanel = new ClassificationSchemePanel() { Dock = DockStyle.Fill };
//Headset Connected?
EmotivStatusCheckerPanel statusChecker = new EmotivStatusCheckerPanel() { Dock = DockStyle.Fill };
// start button
var startButton = GUIUtils.CreateFlatButton("Start Experiment", b =>
{
var settings = (AdaptiveSettings)config.GetConfiguredObject();
//settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)artifactConfig.GetConfiguredObject();
settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)classifierPanel.ArtifactDetectionSettings;
var test = this.ReadAdaptStimuli(stimulipanel.TestFile);
var ans = this.ReadAdaptStimuli(stimulipanel.AnsFile);
var presentation = this.ReadCompetitionStimuli(stimulipanel.PresentationFile);
var class1 = this.ReadCompetitionStimuli(stimulipanel.Class1File);
var class2 = this.ReadCompetitionStimuli(stimulipanel.Class2File);
//Make study-test pairs for practice phase
RandomizedQueue<MCAEmotiv.GUI.Adaptive.StudyTestPair> stp = new RandomizedQueue<MCAEmotiv.GUI.Adaptive.StudyTestPair>();
for (int i = 0; i < test.Count; i++)
{
stp.Add(new MCAEmotiv.GUI.Adaptive.StudyTestPair(test[i], ans[i], i));
}
//To Do: Add a dialog box so that the user knows whether the headset is connected
IEEGDataSource dataSource;
if (statusChecker.HeadsetConnected)
{
dataSource = EmotivDataSource.Instance;
}
else
dataSource = new MockEEGDataSource();
var classifiers = classifierPanel.SelectedClassifiers;
this.Animate(new AdaptiveProvider(stp, presentation, class1, class2, settings, dataSource, classifiers.Where(c => c.Settings.FeatureCount > 0).ToIArray()));
});
//Dialog boxes for saving and loading experiment settings
var saveDialog = new SaveFileDialog()
{
Title = "Save experiment settings",
Filter = "Experiment settings files|*.adaptsettings",
InitialDirectory = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments)
};
var openDialog = new OpenFileDialog()
{
Title = "Select the saved experiment settings (.adaptsettings) file",
Filter = "Experiment settings files|*.adaptsettings",
InitialDirectory = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments),
Multiselect = false
};
// button table for saving and loading experiment settings
var buttonTable = GUIUtils.CreateButtonTable(Direction.Horizontal, DockStyle.Fill,
GUIUtils.CreateFlatButton("Save", b =>
{
var settings = (AdaptiveSettings)config.GetConfiguredObject();
settings.TestFile = stimulipanel.TestFile;
settings.AnsFile = stimulipanel.AnsFile;
settings.PresentationFile = stimulipanel.PresentationFile;
settings.Class1File = stimulipanel.Class1File;
settings.Class2File = stimulipanel.Class2File;
//settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)artifactConfig.GetConfiguredObject();
settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)classifierPanel.ArtifactDetectionSettings;
//ISSUE HERE
//settings.ClassificationSettings = (ClassificationScheme) classifierPanel
saveDialog.FileName = string.IsNullOrWhiteSpace(settings.ExperimentName) ? "my experiment" : settings.ExperimentName;
if (saveDialog.ShowDialog() != DialogResult.OK)
return;
bool saved = settings.TrySerializeToFile(saveDialog.FileName);
GUIUtils.Alert((saved ? "Saved" : "Failed to save")
+ " experiment info to " + saveDialog.FileName,
(saved ? MessageBoxIcon.Information : MessageBoxIcon.Error));
string directory = Path.GetDirectoryName(saveDialog.FileName);
if (Directory.Exists(directory))
saveDialog.InitialDirectory = directory;
}, null, "Save experiment configuration information"),
GUIUtils.CreateFlatButton("Load", b =>
{
if (openDialog.ShowDialog() != DialogResult.OK)
return;
AdaptiveSettings settings;
if (Utils.TryDeserializeFile(openDialog.FileName, out settings))
{
config.SetConfiguredObject(settings);
stimulipanel.TestFile = settings.TestFile;
stimulipanel.AnsFile = settings.AnsFile;
stimulipanel.PresentationFile = settings.PresentationFile;
stimulipanel.Class1File = settings.Class1File;
stimulipanel.Class2File = settings.Class2File;
//NEED TO DO EACH CLASSIFIERPANEL PROPERTY ONE BY ONE :(
//artifactConfig.SetConfiguredObject(settings.ArtifactDetectionSettings);
//classifierPanel.SetConfiguredObject(settings.ArtifactDetectionSettings);
}
else
GUIUtils.Alert("Failed to load experiment info from " + openDialog.FileName, MessageBoxIcon.Error);
}, null, "Load a previously saved experiment settings file"));
//Put together the GUI
var rows = GUIUtils.CreateTable(new[] { .5, .35, .15 }, Direction.Vertical);
var col1 = GUIUtils.CreateTable(new[] { .5, .5 }, Direction.Horizontal);
var col2 = GUIUtils.CreateTable(new[] { .5, .5}, Direction.Horizontal);
var col3 = GUIUtils.CreateTable(new[] { .5, .5 }, Direction.Horizontal);
//col2.Controls.Add(artifactConfig, 1, 0);
col1.Controls.Add(startButton, 1, 0);
col1.Controls.Add(statusChecker, 0, 0);
col2.Controls.Add(config, 0, 0);
col2.Controls.Add(classifierPanel, 1, 0);
col3.Controls.Add(stimulipanel, 1, 0);
col3.Controls.Add(buttonTable, 0, 0);
rows.Controls.Add(col3, 0, 1);
rows.Controls.Add(col1, 0, 2);
rows.Controls.Add(col2, 0, 0);
this.Controls.Add(rows);
this.ResumeLayout(false);
}
/// <summary>
/// Builds the application view for the Adaptive Application
/// </summary>
public void BuildAdaptiveView()
{
this.SuspendLayout();
this.Text = GUIUtils.Strings.APP_NAME;
this.Size = new System.Drawing.Size(1500, 750);
//Settings panels
var config = ConfigurationPanel.Create <AdaptiveSettings>();
//var artifactConfig = ConfigurationPanel.Create<ArtifactDetectionSettings>();
var stimulipanel = new AdaptiveSelectorPanel()
{
Dock = DockStyle.Fill
};
// classifier settings
var classifierPanel = new ClassificationSchemePanel()
{
Dock = DockStyle.Fill
};
//Headset Connected?
EmotivStatusCheckerPanel statusChecker = new EmotivStatusCheckerPanel()
{
Dock = DockStyle.Fill
};
// start button
var startButton = GUIUtils.CreateFlatButton("Start Experiment", b =>
{
var settings = (AdaptiveSettings)config.GetConfiguredObject();
//settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)artifactConfig.GetConfiguredObject();
settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)classifierPanel.ArtifactDetectionSettings;
var test = this.ReadAdaptStimuli(stimulipanel.TestFile);
var ans = this.ReadAdaptStimuli(stimulipanel.AnsFile);
var presentation = this.ReadCompetitionStimuli(stimulipanel.PresentationFile);
var class1 = this.ReadCompetitionStimuli(stimulipanel.Class1File);
var class2 = this.ReadCompetitionStimuli(stimulipanel.Class2File);
//Make study-test pairs for practice phase
RandomizedQueue <MCAEmotiv.GUI.Adaptive.StudyTestPair> stp = new RandomizedQueue <MCAEmotiv.GUI.Adaptive.StudyTestPair>();
for (int i = 0; i < test.Count; i++)
{
stp.Add(new MCAEmotiv.GUI.Adaptive.StudyTestPair(test[i], ans[i], i));
}
//To Do: Add a dialog box so that the user knows whether the headset is connected
IEEGDataSource dataSource;
if (statusChecker.HeadsetConnected)
{
dataSource = EmotivDataSource.Instance;
}
else
{
dataSource = new MockEEGDataSource();
}
var classifiers = classifierPanel.SelectedClassifiers;
this.Animate(new AdaptiveProvider(stp, presentation, class1, class2, settings, dataSource, classifiers.Where(c => c.Settings.FeatureCount > 0).ToIArray()));
});
//Dialog boxes for saving and loading experiment settings
var saveDialog = new SaveFileDialog()
{
Title = "Save experiment settings",
Filter = "Experiment settings files|*.adaptsettings",
InitialDirectory = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments)
};
var openDialog = new OpenFileDialog()
{
Title = "Select the saved experiment settings (.adaptsettings) file",
Filter = "Experiment settings files|*.adaptsettings",
InitialDirectory = Environment.GetFolderPath(Environment.SpecialFolder.MyDocuments),
Multiselect = false
};
// button table for saving and loading experiment settings
var buttonTable = GUIUtils.CreateButtonTable(Direction.Horizontal, DockStyle.Fill,
GUIUtils.CreateFlatButton("Save", b =>
{
var settings = (AdaptiveSettings)config.GetConfiguredObject();
settings.TestFile = stimulipanel.TestFile;
settings.AnsFile = stimulipanel.AnsFile;
settings.PresentationFile = stimulipanel.PresentationFile;
settings.Class1File = stimulipanel.Class1File;
settings.Class2File = stimulipanel.Class2File;
//settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)artifactConfig.GetConfiguredObject();
settings.ArtifactDetectionSettings = (ArtifactDetectionSettings)classifierPanel.ArtifactDetectionSettings;
//ISSUE HERE
//settings.ClassificationSettings = (ClassificationScheme) classifierPanel
saveDialog.FileName = string.IsNullOrWhiteSpace(settings.ExperimentName) ? "my experiment" : settings.ExperimentName;
if (saveDialog.ShowDialog() != DialogResult.OK)
{
return;
}
bool saved = settings.TrySerializeToFile(saveDialog.FileName);
GUIUtils.Alert((saved ? "Saved" : "Failed to save")
+ " experiment info to " + saveDialog.FileName,
(saved ? MessageBoxIcon.Information : MessageBoxIcon.Error));
string directory = Path.GetDirectoryName(saveDialog.FileName);
if (Directory.Exists(directory))
{
saveDialog.InitialDirectory = directory;
}
}, null, "Save experiment configuration information"),
GUIUtils.CreateFlatButton("Load", b =>
{
if (openDialog.ShowDialog() != DialogResult.OK)
{
return;
}
AdaptiveSettings settings;
if (Utils.TryDeserializeFile(openDialog.FileName, out settings))
{
config.SetConfiguredObject(settings);
stimulipanel.TestFile = settings.TestFile;
stimulipanel.AnsFile = settings.AnsFile;
stimulipanel.PresentationFile = settings.PresentationFile;
stimulipanel.Class1File = settings.Class1File;
stimulipanel.Class2File = settings.Class2File;
//NEED TO DO EACH CLASSIFIERPANEL PROPERTY ONE BY ONE :(
//artifactConfig.SetConfiguredObject(settings.ArtifactDetectionSettings);
//classifierPanel.SetConfiguredObject(settings.ArtifactDetectionSettings);
}
else
{
GUIUtils.Alert("Failed to load experiment info from " + openDialog.FileName, MessageBoxIcon.Error);
}
}, null, "Load a previously saved experiment settings file"));
//Put together the GUI
var rows = GUIUtils.CreateTable(new[] { .5, .35, .15 }, Direction.Vertical);
var col1 = GUIUtils.CreateTable(new[] { .5, .5 }, Direction.Horizontal);
var col2 = GUIUtils.CreateTable(new[] { .5, .5 }, Direction.Horizontal);
var col3 = GUIUtils.CreateTable(new[] { .5, .5 }, Direction.Horizontal);
//col2.Controls.Add(artifactConfig, 1, 0);
col1.Controls.Add(startButton, 1, 0);
col1.Controls.Add(statusChecker, 0, 0);
col2.Controls.Add(config, 0, 0);
col2.Controls.Add(classifierPanel, 1, 0);
col3.Controls.Add(stimulipanel, 1, 0);
col3.Controls.Add(buttonTable, 0, 0);
rows.Controls.Add(col3, 0, 1);
rows.Controls.Add(col1, 0, 2);
rows.Controls.Add(col2, 0, 0);
this.Controls.Add(rows);
this.ResumeLayout(false);
}
/// <summary>
/// Builds the application view
/// </summary>
public void BuildExperimenterView()
{
this.SuspendLayout();
this.Text = GUIUtils.Strings.APP_NAME;
this.Size = new System.Drawing.Size(1500, 750);
// experiment settings
var experimentPanel = new ExperimentPanel() { Dock = DockStyle.Fill };
// classifier settings
var classifierPanel = new ClassificationSchemePanel() { Dock = DockStyle.Fill };
// stimulus class settings
var stimulusClassPanel = new StimulusClassPanel() { Dock = DockStyle.Fill };
// status checker
var statusChecker = new EmotivStatusCheckerPanel() { Dock = DockStyle.Fill };
// start button
var startButton = GUIUtils.CreateFlatButton("Start Experiment", b =>
{
var experimentSettings = experimentPanel.ExperimentSettings;
experimentSettings.ImageDisplaySettings = stimulusClassPanel.ImageDisplaySettings;
experimentSettings.ArtifactDetectionSettings = classifierPanel.ArtifactDetectionSettings;
// check stimulus classes
if (stimulusClassPanel.StimulusClass1 == null || stimulusClassPanel.StimulusClass2 == null)
{
GUIUtils.Alert("Two stimulus classes must be selected", MessageBoxIcon.Error);
return;
}
if (stimulusClassPanel.StimulusClass1.UsedStimuli(experimentSettings.QuestionMode).IsEmpty()
|| stimulusClassPanel.StimulusClass2.UsedStimuli(experimentSettings.QuestionMode).IsEmpty())
{
GUIUtils.Alert("Each stimulus class must have at least one valid stimulus for the selected question mode", MessageBoxIcon.Error);
return;
}
if (stimulusClassPanel.StimulusClass1.Settings.Marker == stimulusClassPanel.StimulusClass2.Settings.Marker)
{
GUIUtils.Alert("The two selected stimulus classes must have different marker values", MessageBoxIcon.Error);
return;
}
// check classifiers
var classifiers = classifierPanel.SelectedClassifiers;
foreach (var classifier in classifiers)
if (classifier.Settings.FeatureCount <= 0
&& !GUIUtils.IsUserSure("Classifier " + classifier.Settings.Name + " has no features. Continue without this classifier?"))
return;
// check headset
if (!statusChecker.HeadsetConnected
&& !GUIUtils.IsUserSure("The Emotiv headset is not connected: run experiment with mock headset (generates random data for testing purposes)?"))
return;
this.Animate(new ExperimentProvider(experimentSettings,
stimulusClassPanel.StimulusClass1,
stimulusClassPanel.StimulusClass2,
classifiers.Where(c => c.Settings.FeatureCount > 0).ToIArray(),
statusChecker.HeadsetConnected
? EmotivDataSource.Instance
: this.mockDataSource ?? (this.mockDataSource = new MockEEGDataSource())));
});
// add all controls
var rows = GUIUtils.CreateTable(new double[] { .5, .5 }, Direction.Vertical);
// top row
var topCols = GUIUtils.CreateTable(new double[] { .25, .75 }, Direction.Horizontal);
topCols.Controls.Add(experimentPanel, 0, 0);
topCols.Controls.Add(classifierPanel, 1, 0);
rows.Controls.Add(topCols, 0, 0);
// bottom row
var bottomCols = GUIUtils.CreateTable(new double[] { .75, .25 }, Direction.Horizontal);
bottomCols.Controls.Add(stimulusClassPanel, 0, 0);
var bottomRightTable = GUIUtils.CreateTable(new double[] { .6, .4 }, Direction.Vertical);
bottomRightTable.Controls.Add(statusChecker, 0, 0);
bottomRightTable.Controls.Add(startButton, 0, 1);
bottomCols.Controls.Add(bottomRightTable, 1, 0);
rows.Controls.Add(bottomCols, 0, 1);
this.Controls.Add(rows);
this.ResumeLayout(false);
}
/// <summary>
/// Builds the application view
/// </summary>
public void BuildExperimenterView()
{
this.SuspendLayout();
this.Text = GUIUtils.Strings.APP_NAME;
this.Size = new System.Drawing.Size(1500, 750);
// experiment settings
var experimentPanel = new ExperimentPanel()
{
Dock = DockStyle.Fill
};
// classifier settings
var classifierPanel = new ClassificationSchemePanel()
{
Dock = DockStyle.Fill
};
// stimulus class settings
var stimulusClassPanel = new StimulusClassPanel()
{
Dock = DockStyle.Fill
};
// status checker
var statusChecker = new EmotivStatusCheckerPanel()
{
Dock = DockStyle.Fill
};
// start button
var startButton = GUIUtils.CreateFlatButton("Start Experiment", b =>
{
var experimentSettings = experimentPanel.ExperimentSettings;
experimentSettings.ImageDisplaySettings = stimulusClassPanel.ImageDisplaySettings;
experimentSettings.ArtifactDetectionSettings = classifierPanel.ArtifactDetectionSettings;
// check stimulus classes
if (stimulusClassPanel.StimulusClass1 == null || stimulusClassPanel.StimulusClass2 == null)
{
GUIUtils.Alert("Two stimulus classes must be selected", MessageBoxIcon.Error);
return;
}
if (stimulusClassPanel.StimulusClass1.UsedStimuli(experimentSettings.QuestionMode).IsEmpty() ||
stimulusClassPanel.StimulusClass2.UsedStimuli(experimentSettings.QuestionMode).IsEmpty())
{
GUIUtils.Alert("Each stimulus class must have at least one valid stimulus for the selected question mode", MessageBoxIcon.Error);
return;
}
if (stimulusClassPanel.StimulusClass1.Settings.Marker == stimulusClassPanel.StimulusClass2.Settings.Marker)
{
GUIUtils.Alert("The two selected stimulus classes must have different marker values", MessageBoxIcon.Error);
return;
}
// check classifiers
var classifiers = classifierPanel.SelectedClassifiers;
foreach (var classifier in classifiers)
{
if (classifier.Settings.FeatureCount <= 0 &&
!GUIUtils.IsUserSure("Classifier " + classifier.Settings.Name + " has no features. Continue without this classifier?"))
{
return;
}
}
// check headset
if (!statusChecker.HeadsetConnected &&
!GUIUtils.IsUserSure("The Emotiv headset is not connected: run experiment with mock headset (generates random data for testing purposes)?"))
{
return;
}
this.Animate(new ExperimentProvider(experimentSettings,
stimulusClassPanel.StimulusClass1,
stimulusClassPanel.StimulusClass2,
classifiers.Where(c => c.Settings.FeatureCount > 0).ToIArray(),
statusChecker.HeadsetConnected
? EmotivDataSource.Instance
: this.mockDataSource ?? (this.mockDataSource = new MockEEGDataSource())));
});
// add all controls
var rows = GUIUtils.CreateTable(new double[] { .5, .5 }, Direction.Vertical);
// top row
var topCols = GUIUtils.CreateTable(new double[] { .25, .75 }, Direction.Horizontal);
topCols.Controls.Add(experimentPanel, 0, 0);
topCols.Controls.Add(classifierPanel, 1, 0);
rows.Controls.Add(topCols, 0, 0);
// bottom row
var bottomCols = GUIUtils.CreateTable(new double[] { .75, .25 }, Direction.Horizontal);
bottomCols.Controls.Add(stimulusClassPanel, 0, 0);
var bottomRightTable = GUIUtils.CreateTable(new double[] { .6, .4 }, Direction.Vertical);
bottomRightTable.Controls.Add(statusChecker, 0, 0);
bottomRightTable.Controls.Add(startButton, 0, 1);
bottomCols.Controls.Add(bottomRightTable, 1, 0);
rows.Controls.Add(bottomCols, 0, 1);
this.Controls.Add(rows);
this.ResumeLayout(false);
}