private void SerialPort_DataReceived(object sender, SerialDataReceivedEventArgs e)
{
if (sender is SerialPort port)
{
byte[] buffer = new byte[port.BytesToRead];
port.Read(buffer, 0, buffer.Length);
var time = _dataAccessFacade.GetSceneInUseAccess().GetLocation();
if (!time.HasValue)
{
return;
}
foreach (var bufferData in buffer)
{
double[] data = _interpretStream.interpretBinaryStream(bufferData);
if (!ReferenceEquals(null, data))
{
if (data.Length >= 9)
{
double[] dataToGraph = new double[9];
dataToGraph[0] = data[0];
var eegArgs = new EegFrameArrivedEventArgs()
{
Time = time.Value,
Person = _person,
Channels = new List <EegChannel>()
};
for (int j = 1; j < 9; j++)
{
double value = _filter.FiltersSelect((FilterType)(OpenBCISettings.Instance.Filter.Value),
(NotchType)(OpenBCISettings.Instance.Notch.Value), data[j], j - 1);
dataToGraph[j] = value;
eegArgs.Channels.Add(new EegChannel()
{
Filter = FilterType.None,
Notch = (NotchType)OpenBCISettings.Instance.Notch.Value,
Position = _positions[j - 1] ?? "",
Value = value
});
}
GraphTab.Enqueue(dataToGraph);
OnEegFrameArrived(eegArgs);
}
if (data.Length == 12 && data[9] != 0 && data[10] != 0 && data[11] != 0)
{
var accArgs = new AccelerometerFrameArrivedEventArgs()
{
Place = "Head",
// Time = ,
XAxis = data[9],
YAxis = data[10],
ZAxis = data[11]
};
OnAccelerometerArrived(accArgs);
}
var actualTime = _dataAccessFacade.GetSceneInUseAccess().GetLocation();
if (actualTime.HasValue)
{
_filemanage?.WriteFile(actualTime.Value, data);
}
}
}
}
}
private void OnEegFrameArrived(EegFrameArrivedEventArgs e)
{
EegFrameArrived?.Invoke(this, e);
}
public void DataReceiver(object sender, EegFrameArrivedEventArgs e)
{
//if samplingHz is 128, then alternates if the signal is processed or no
if (EEGEmoProc2ChSettings.Instance.SamplingHz == 256)
{
_signalGet = true;
}
else if (EEGEmoProc2ChSettings.Instance.SamplingHz == 128)
{
_signalGet = !_signalGet;
}
double[] values = new double[2];
var channelCounter = 0;
foreach (var channel in e.Channels)
{
if (channel.Position.Equals("F3"))
{
if (EEGEmoProc2ChSettings.Instance.SamplingHz == 256)
{
values[0] = channel.Value;
}
else if (_signalGet)
{
values[0] = (lastF3 + channel.Value) / 2;
}
else
{
lastF3 = channel.Value;
}
channelCounter++;
}
if (channel.Position.Equals("C4"))
{
if (EEGEmoProc2ChSettings.Instance.SamplingHz == 256)
{
values[1] = channel.Value;
}
else if (_signalGet)
{
values[1] = (lastC4 + channel.Value) / 2;
}
else
{
lastC4 = channel.Value;
}
channelCounter++;
}
}
if (channelCounter == 2)
{
_signaList.Add(values);
}
//if the window ends, sends the signal to process
var sceneLocation = e.Time;
if (_signaList.Count >= 0 &&
_lastSecond != (int)sceneLocation.TotalSeconds &&
(int)sceneLocation.TotalSeconds % 9 == 0)
{
_lastSecond = (int)sceneLocation.TotalSeconds;
try
{
var tag = LearningModel.Classify(_signaList);
Console.WriteLine(tag.ToString());
_dataAccessFacade.GetEventAccess().Add(e.Person, "Emotion", tag.ToString(), e.Time, 1);
}
catch (Exception ex)
{
Console.WriteLine("error: " + ex.Message);
}
_signaList = new List <double[]>();
}
}
