float[] GetTensor()
{
float[] tmpTensor = new[]
{
(float)eyeData.GetGDLX(), (float)eyeData.GetGDLY(), (float)eyeData.GetGDLZ(),
(float)eyeData.GetGDRX(), (float)eyeData.GetGDRY(), (float)eyeData.GetGDRZ(),
(float)eyeData.GetPDL(), (float)eyeData.GetPDR(), (float)naos.GetHeartRate(),
(float)naos.GetGsr()
};
return(tmpTensor);
}
public void FixedUpdate()
{
if (naos.GetConnection() && obtainingBaseline && HR_Buff.Count < BaseLineTime && once)
{
print("start mouse thing");
StartCoroutine(CalculateBaseline());
once = false;
}
if (running && eyeData != null && naos.GetConnection())
{
if (
eyeData.GetGDLX() != 0 &&
eyeData.GetGDLY() != 0 &&
eyeData.GetGDLZ() != 0 &&
eyeData.GetGDRX() != 0 &&
eyeData.GetGDRY() != 0 &&
eyeData.GetGDRZ() != 0 &&
eyeData.GetPDL() != 0 &&
eyeData.GetPDR() != 0 &&
naos.GetHeartRate() != 0 &&
naos.GetGsr() != 0
)
{
gdlX.Add(eyeData.GetGDLX());
gdlY.Add(eyeData.GetGDLY());
gdlZ.Add(eyeData.GetGDLZ());
gdrX.Add(eyeData.GetGDRX());
gdrY.Add(eyeData.GetGDRY());
gdrZ.Add(eyeData.GetGDRZ());
pdl.Add(eyeData.GetPDL());
pdr.Add(eyeData.GetPDR());
HR.Add(naos.GetHeartRate() - HR_Base);
GSR.Add(naos.GetGsr());
PredictedConation.Add(KerasBrain.prediction);
}
}
}
// Update is called once per frame
void Update()
{
if (stream.GetConnection() == true)
{
time += Time.deltaTime;
// for every update heart rate and gsr is saved in an array and send through UDP to another application.
biometrics [0] = stream.GetHeartRate();
biometrics [1] = stream.GetAvgHeartRate();
biometrics [2] = stream.GetMaxHeartRate();
biometrics [3] = stream.GetGsr();
//udpSender.sendDoubleArr (biometrics);
// here we "record" all the biometrics and the triggers
// however, as a standard the trigger is 0 until something else is send.
timeList.Add(time);
hrArrList.Add(stream.GetHeartRate());
avgHrArrList.Add(stream.GetAvgHeartRate());
maxHrArrList.Add(stream.GetMaxHeartRate());
gsrArrList.Add(stream.GetGsr());
triggers.Add(0);
//is this how a trigger can be placed and the two needed statements needed to only place one is created.
if (time > 2.0 && time < 2.1 && triggerEnabled)
{
SetTrigger(2);
triggerEnabled = false;
}
if (time > 2.1 && time < 2.2)
{
triggerEnabled = true;
}
//baselineTime is up to change. for now it is 10, being 10 seconds.
// after that the baseline is found, which enables finding change score and percentage difference from the baseline.
//
if (time > baselineTime && captureBaseline == true)
{
captureBaseline = false;
hrBase = MeasureBaseLine(hrArrList);
avghrBase = MeasureBaseLine(avgHrArrList);
maxhrBase = MeasureBaseLine(maxHrArrList);
gsrBase = MeasureBaseLine(gsrArrList);
time = 0.0f;
Debug.Log("Baseline Found");
}
//as mentioned above when we got the baseline we are now capable of finding differnt important features.
// it is always recomended to have a baseline corection in regards to analysis and online feedback systems.
// for sufisticated online analysis tools can be created
// this create the fundamentals for what you might want to do in the end.
if (hrBase != 0.0)
{
triggersWithBaseLine.Add(0);
hrCSArrList.Add(LiveChangeScore(stream.GetHeartRate(), hrBase));
avgHrCSArrList.Add(LiveChangeScore(stream.GetAvgHeartRate(), avghrBase));
maxHrCSArrList.Add(LiveChangeScore(stream.GetMaxHeartRate(), maxhrBase));
gsrCSArrList.Add(LiveChangeScore(stream.GetGsr(), gsrBase));
timeCSList.Add(time);
hrPDArrList.Add(LivePercentageDiffFromBase(stream.GetHeartRate(), hrBase));
avgHrPDArrList.Add(LivePercentageDiffFromBase(stream.GetAvgHeartRate(), avghrBase));
maxHrPDArrList.Add(LivePercentageDiffFromBase(stream.GetMaxHeartRate(), maxhrBase));
gsrPDArrList.Add(LivePercentageDiffFromBase(stream.GetGsr(), gsrBase));
if (time > 3.0 && time < 3.1 && triggerEnabled)
{
SetTrigger(3);
triggerEnabled = false;
}
if (time > 3.1 && time < 3.2)
{
triggerEnabled = true;
}
if (time > 4.0 && time < 4.1 && triggerEnabled)
{
SetTrigger(4);
triggerEnabled = false;
}
if (time > 4.1 && time < 4.2)
{
triggerEnabled = true;
}
// if we have reach a certain tiume. this can be anything else
// create files with recordings you have just gathered.
if (time > 11 && printTxts == true)
{
printTxts = false;
string filenameRaw = "part" + participantID + "bioMeasure.txt";
string filenameCS = "part" + participantID + "ChangeScore.txt";
string filenamePD = "part" + participantID + "PercentageDifferenceFromBase.txt";
CreateTxtContent(timeList, hrArrList, avgHrArrList, maxHrArrList, gsrArrList, triggers, filenameRaw);
CreateTxtContent(timeCSList, hrCSArrList, avgHrCSArrList, maxHrCSArrList, gsrCSArrList, triggersWithBaseLine, filenameCS);
CreateTxtContent(timeCSList, hrPDArrList, avgHrPDArrList, maxHrPDArrList, gsrPDArrList, triggersWithBaseLine, filenamePD);
Debug.Log("Text Files Printed");
}
}
}
}