Beispiel #1
0
        /// <summary>
        /// Constructs a panel
        /// </summary>
        public EmotivStatusCheckerPanel()
            : base()
        {
            this.HeadsetConnected = false;

            var label = new Label()
            {
                Dock = DockStyle.Fill, TextAlign = ContentAlignment.MiddleCenter
            };

            this.Controls.Add(label);

            this.listener = new EEGDataListener(GUIUtils.GUIInvoker,
                                                (ignored) =>
            {
                this.HeadsetConnected = true;
                label.Text            = "Headset connected!";
                label.BackColor       = Color.Green;
                label.ForeColor       = Color.Black;
            },
                                                null,
                                                (ignored) =>
            {
                this.HeadsetConnected = false;
                label.Text            = "Could not connect to headset";
                label.BackColor       = Color.Red;
                label.ForeColor       = Color.White;
            });
            EmotivDataSource.Instance.AddListener(this.listener);
        }
        /// <summary>
        /// Constructs a panel
        /// </summary>
        public EmotivStatusCheckerPanel()
            : base()
        {
            this.HeadsetConnected = false;

            var label = new Label() { Dock = DockStyle.Fill, TextAlign = ContentAlignment.MiddleCenter };
            this.Controls.Add(label);

            this.listener = new EEGDataListener(GUIUtils.GUIInvoker,
                (ignored) =>
                {
                    this.HeadsetConnected = true;
                    label.Text = "Headset connected!";
                    label.BackColor = Color.Green;
                    label.ForeColor = Color.Black;
                },
                null,
                (ignored) =>
                {
                    this.HeadsetConnected = false;
                    label.Text = "Could not connect to headset";
                    label.BackColor = Color.Red;
                    label.ForeColor = Color.White;
                });
            EmotivDataSource.Instance.AddListener(this.listener);
        }
 /// <summary>
 /// Removes a listener from the data source
 /// </summary>
 public void RemoveListener(IEEGDataListener listener)
 {
     this.RemoveListeners(listener.Enumerate());
 }
 /// <summary>
 /// Add a listener to the data source
 /// </summary>
 public void AddListener(IEEGDataListener listener)
 {
     this.AddListeners(listener.Enumerate());
 }
Beispiel #5
0
        private IEnumerable <View> GetViews(Runtime runtime)
        {
            BlockingQueue <IArrayView <EEGDataEntry> > trialDataQueue;

            using (var trialListener = this.GetTrialDataListener(out trialDataQueue))           // create the listeners
                using (var rawDataListener = this.GetRawDataRecordingListener())
                    using (var stimuli1 = this.GetStimuli(this.StimulusClass1, runtime.Random)) // create stimulus enumerators
                        using (var stimuli2 = this.GetStimuli(this.StimulusClass2, runtime.Random))
                        {
                            // save the trial queue
                            runtime.TrialDataQueue = trialDataQueue;

                            // add listeners
                            var listeners = new IEEGDataListener[] { trialListener, rawDataListener }.Where(l => l != null);
                            this.DataSource.AddListeners(listeners);

                            // training phase
                            if (this.Settings.TrainingImagesPerClass > 0)
                            {
                                yield return(new TextView(runtime.LogLine("Training Phase"), this.Settings.InstructionTime));

                                runtime.LogLine();

                                while (runtime.TrainStimuliRemaining > 0)
                                {
                                    stimuli1.MoveNext();
                                    stimuli2.MoveNext();
                                    runtime.CurrentTrial = new Trial(runtime)
                                    {
                                        IsTraining = true,
                                        Stimulus1  = stimuli1.Current,
                                        Stimulus2  = stimuli2.Current,
                                        FocusOn1   = this.GetFocusTarget(runtime),
                                        LeftHas1   = runtime.Random.NextBool()
                                    };

                                    foreach (var view in this.ProcessStimulusPair(runtime))
                                    {
                                        yield return(view);
                                    }
                                    runtime.LogLine();
                                }
                            }

                            // initial training
                            if (runtime.Classifiers.Count > 0)
                            {
                                yield return(new TrainView(runtime.Classifiers)
                                {
                                    Text = runtime.LogLine("Training Classifiers")
                                });

                                runtime.LogLine();
                            }

                            // test phase
                            if (this.Settings.TestImages > 0)
                            {
                                yield return(new TextView(runtime.LogLine("Test Phase"), this.Settings.InstructionTime));

                                runtime.LogLine();

                                while (runtime.TestStimuliRemaining > 0)
                                {
                                    stimuli1.MoveNext();
                                    stimuli2.MoveNext();
                                    runtime.CurrentTrial = new Trial(runtime)
                                    {
                                        IsTraining = false,
                                        Stimulus1  = stimuli1.Current,
                                        Stimulus2  = stimuli2.Current,
                                        LeftHas1   = runtime.Random.NextBool()
                                    };

                                    foreach (var view in this.ProcessStimulusPair(runtime))
                                    {
                                        yield return(view);
                                    }
                                    runtime.LogLine();

                                    // periodic training
                                    if (runtime.CurrentTrial.Succeeded &&
                                        (runtime.CurrentTrial.Index + 1) % this.Settings.TrainFrequency == 0 &&
                                        runtime.TestStimuliRemaining > 0 &&
                                        runtime.Classifiers.Count > 0)
                                    {
                                        yield return(new TrainView(runtime.Classifiers)
                                        {
                                            Text = runtime.LogLine("Re-training Classifiers")
                                        });

                                        runtime.LogLine();
                                    }
                                }
                            }

                            this.DataSource.RemoveListeners(listeners);
                        }
        }
Beispiel #6
0
 /// <summary>
 /// Removes a listener from the data source
 /// </summary>
 public void RemoveListener(IEEGDataListener listener)
 {
     this.RemoveListeners(listener.Enumerate());
 }
Beispiel #7
0
 /// <summary>
 /// Add a listener to the data source
 /// </summary>
 public void AddListener(IEEGDataListener listener)
 {
     this.AddListeners(listener.Enumerate());
 }