void TimeBasedCalculation()
{
// New window time is the original window time minus overlapping window. Set elapsed time in proportional position.
elapsedWindowTime = windowTime * overlappingFraction;
// Check that data is available
if (timestamps.Count == 0 && dataBuffer.Count == 0)
{
ExciteOMeterManager.LogInFile("No incoming data " + incomingDataType.ToString() + " was found to calculate feature " + outputDataType.ToString());
return;
}
// Calculate feature
featureValue = CalculateFeature(timestamps.ToArray(), dataBuffer.ToArray());
// Send events and log in file
ExciteOMeterManager.DebugLog("A new feature was calculated in " + outputDataType.ToString() + ": " + timestamps[timestamps.Count - 1] + ", " + featureValue.ToString());
EoM_Events.Send_OnDataReceived(outputDataType, timestamps[timestamps.Count - 1], featureValue);
LoggerController.instance.WriteLine(logIdentifier, timestamps[timestamps.Count - 1] + "," + featureValue.ToString());
// Rearrange overlap in signal
// Overlap should not be greater than 95%, because it would generate very often feature calculations that might affect performance.
int elementsToDelete = (int)(Mathf.Clamp(1.0f - (overlappingFraction), 0f, 0.95f) * dataBuffer.Count);
timestamps.RemoveRange(0, elementsToDelete);
dataBuffer.RemoveRange(0, elementsToDelete);
}
/// <summary>
/// Calculate feature value from a unidimensional sample-based feature
/// </summary>
void SampleBasedCalculation()
{
// Check that data is available
if (timestamps.Count == 0 && dataBuffer.Count == 0)
{
// ExciteOMeterManager.DebugLog("No timestamps or data were found to calculate features");
ExciteOMeterManager.LogInFile("No incoming data " + incomingDataType.ToString() + " was found to calculate feature " + outputDataType.ToString());
return;
}
// Calculate feature
featureValue = CalculateFeature(timestamps.ToArray(), dataBuffer.ToArray());
// Calculate offset of timestamp that corresponds to the calculated feature (# displacements to the left in timestamps)
// Examples: Assume `sampleBuffer=5`
// If `offsetSamplesTimestamp=0`, t for calculated feature is [t-4,t-3,...,t]
// If `offsetSamplesTimestamp=3`, t for calculated feature is [t-1,t,t+1,t+2,t+3]
indexOffsetForTimestamp = sampleBuffer - offsetSamplesTimestamp - 1;
// Send events and log in file
ExciteOMeterManager.DebugLog("A new feature was calculated in " + outputDataType.ToString() + ": " + timestamps[indexOffsetForTimestamp] + ", " + featureValue.ToString());
// Flag to know if it is the first calculation of the feature.
// If so, the new feature has to match all the timestamps existing before the first timestamp of the feature.
if (matchLengthOfInputSignal)
{
if (isFirstCalculatedFeature)
{
isFirstCalculatedFeature = false;
idxStartRepeating = 0; // No previous data in array, repeat from beginning of input timestamps.
}
else
{
// CASE: Match length and buffer already contains data from previous window
// Based on overlap and offset, the position where to start repeating timestamps is the following formula.
idxStartRepeating = overlappingSamples - offsetSamplesTimestamp;
}
// Fill the previous timestamps of the input signal with the same value of this feature.
for (int i = idxStartRepeating; i <= indexOffsetForTimestamp; i++)
{
// Write in files to collect data corresponding to
EoM_Events.Send_OnDataReceived(outputDataType, timestamps[i], featureValue);
LoggerController.instance.WriteLine(logIdentifier, ExciteOMeterManager.ConvertFloatToString(timestamps[i]) + "," + ExciteOMeterManager.ConvertFloatToString(featureValue));
}
}
else
{
Debug.LogWarning("Error calculating feature. Matching sampling error: logIdentifier" + logIdentifier.ToString());
//// CASE: DO NOT MATCH LENGTH OF INPUT SIGNAL, BUT USE TIMESTAMP DIFFERENT THAN LAST SAMPLE
//EoM_Events.Send_OnDataReceived(outputDataType, timestamps[indexOffsetForTimestamp], featureValue);
//LoggerController.instance.WriteLine(logIdentifier, ExciteOMeterManager.ConvertFloatToString(timestamps[indexOffsetForTimestamp]) + "," + ExciteOMeterManager.ConvertFloatToString(featureValue));
}
// Rearrange overlap in signal
elementsToDelete = sampleBuffer - overlappingSamples;
timestamps.RemoveRange(0, elementsToDelete);
dataBuffer.RemoveRange(0, elementsToDelete);
}
// Start is called before the first frame update
void Start()
{
// PostProcessing flag
numInstances++;
// Default values, if this needs to be changed per feature reimplementing the following function in the child class
isTimeBasedFeature = !SettingsManager.Values.featureSettings.DEFAULT_IS_SAMPLE_BASED;
windowTime = SettingsManager.Values.featureSettings.DEFAULT_WINDOW_TIME_SECS;
overlappingFraction = SettingsManager.Values.featureSettings.DEFAULT_OVERLAP_FRACTION;
isSampleBasedFeature = SettingsManager.Values.featureSettings.DEFAULT_IS_SAMPLE_BASED;
sampleBuffer = SettingsManager.Values.featureSettings.DEFAULT_SAMPLE_BUFFER;
overlappingSamples = SettingsManager.Values.featureSettings.DEFAULT_OVERLAP_SAMPLES;
offsetSamplesTimestamp = SettingsManager.Values.featureSettings.DEFAULT_OFFSET_SAMPLES_TIMESTAMP;
// Only for sample-based, whether input and output are forced to have same length by resampling data.
matchLengthOfInputSignal = SettingsManager.Values.featureSettings.matchInputOutputLength;
// CONDITIONS
if (isSampleBasedFeature)
{
if (overlappingSamples >= sampleBuffer)
{
// Error, the number of samples to delete
ExciteOMeterManager.LogInFile("The samples to delete in buffer feature " + outputDataType.ToString() + " are larger than sampleBufferLength. Check config.json");
overlappingSamples = 0;
}
else if (offsetSamplesTimestamp > overlappingSamples)
{
ExciteOMeterManager.LogInFile("The offset timestamp of timestamp in feature " + outputDataType.ToString() + " needs to be lower than overlapSamplesLength. Check config.json");
offsetSamplesTimestamp = 0;
}
}
// If there are some configurations needed for the specific feature
SetupStart();
}
////////////// MULTIDIMENSIONAL FEATURES
/// <summary>
/// Calculate features from a MULTIDIMENSIONAL sample-based feature
/// </summary>
void SampleBasedCalculationArray()
{
// Check that data is available
if (timestamps.Count == 0 && dataBufferArray.Count == 0)
{
// ExciteOMeterManager.DebugLog("No timestamps or data were found to calculate features");
ExciteOMeterManager.LogInFile("No incoming data " + incomingDataType.ToString() + " was found to calculate feature " + outputDataType.ToString());
return;
}
// Calculate feature
featureArray = CalculateFeatureArray(timestamps.ToArray(), dataBufferArray.ToArray());
// Calculate offset of timestamp that corresponds to the calculated feature (# displacements to the left in timestamps)
// Examples: Assume `sampleBuffer=5`
// If `offsetSamplesTimestamp=0`, t for calculated feature is [t-4,t-3,...,t]
// If `offsetSamplesTimestamp=3`, t for calculated feature is [t-1,t,t+1,t+2,t+3]
indexOffsetForTimestamp = sampleBuffer - offsetSamplesTimestamp - 1;
// Send events and log in file
ExciteOMeterManager.DebugLog("A new feature was calculated in " + outputDataType.ToString() + ": " + timestamps[indexOffsetForTimestamp] + ", Length: " + featureArray.Length.ToString());
// Flag to know if it is the first calculation of the feature.
// If so, the new feature has to match all the timestamps existing before the first timestamp of the feature.
if (matchLengthOfInputSignal)
{
if (isFirstCalculatedFeature)
{
isFirstCalculatedFeature = false;
idxStartRepeating = 0; // No previous data in array, repeat from beginning of input timestamps.
}
else
{
// CASE: Match length and buffer already contains data from previous window
// Based on overlap and offset, the position where to start repeating timestamps is the following formula.
idxStartRepeating = overlappingSamples - offsetSamplesTimestamp;
}
// Get the DataType for each of the features that are calculated
DataType[] featureDataTypes = Constants.SubsetOfFeaturesTransformDataTypes(logIdentifier);
// Fill the previous timestamps of the input signal with the same value of this feature.
for (int i = idxStartRepeating; i <= indexOffsetForTimestamp; i++)
{
// Write in files to collect data corresponding to
// Create string to save in CSV
string featureArrayText = "";
foreach (float v in featureArray)
{
featureArrayText += "," + ExciteOMeterManager.ConvertFloatToString(v, 4);
}
bool logIsWriting = LoggerController.instance.WriteLine(logIdentifier, ExciteOMeterManager.ConvertFloatToString(timestamps[i]) + featureArrayText);
if (!logIsWriting)
{
Debug.LogWarning("Error writing movement data. Please setup LoggerController with a file with LogID is" + logIdentifier.ToString());
}
//// --------- TODO
//// Send an event with the multidimensional data for the receivers taht can handle multidimensionality
//EoM_Events.Send_OnDataArrayReceived(outputDataType, timestamps[i], featureArray);
//// Visualizer is designed to analyze unidimensional data, therefore multidimensional needs to be sent one by one to the system
//StartCoroutine(SendDataEventsMovement(ExciteOMeterManager.GetTimestamp()));
// BUG: Sending events from the coroutine does not seem to be received...
// ---------
// If the above works, delete the remaining code!! ----------------------
if (featureDataTypes.Length != featureArray.Length)
{
Debug.LogError("Mismatch between the calculated array of features and the expected, in feature with logIdentifier" + logIdentifier);
return;
}
for (int j = 0; j < featureArray.Length; j++)
{
EoM_Events.Send_OnDataReceived(featureDataTypes[j], timestamps[i], featureArray[j]);
}
/// --------------------------------------------------------
}
}
else
{
// CASE: DO NOT MATCH LENGTH OF INPUT SIGNAL, BUT USE TIMESTAMP DIFFERENT THAN LAST SAMPLE
EoM_Events.Send_OnDataReceived(outputDataType, timestamps[indexOffsetForTimestamp], featureValue);
LoggerController.instance.WriteLine(logIdentifier, ExciteOMeterManager.ConvertFloatToString(timestamps[indexOffsetForTimestamp]) + "," + ExciteOMeterManager.ConvertFloatToString(featureValue));
}
// Rearrange overlap in signal
elementsToDelete = sampleBuffer - overlappingSamples;
timestamps.RemoveRange(0, elementsToDelete);
dataBufferArray.RemoveRange(0, elementsToDelete);
}
