I have:
*OpenViBE v1.2.2
*SO Windows 10
*OpenEEG hardware 2 electrodes, Oz y Pz for P300 sampling frecuency 256 hz
*Decimation factor 4
*9 trials and 12 repetitions
*Scenario: 2 train classifier in P300 speller
Epoch block average: epoch count=1
I have a question about "Feature aggregator" box works.
Epoch average box provide:
and the LDA classifier report:
Code: Select all
[ INF ] At time 502.000 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Received train stimulation. Data dim is [1295x76]
[ INF ] At time 502.000 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> For information, we have 216 feature vector(s) for input 1
[ INF ] At time 502.000 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> For information, we have 1079 feature vector(s) for input 2
Is "Feature aggregator" box for target provide an array like this to the classifier?:
I mean, Feature aggregator put 38 samples for Oz, immediatelly after 38 samples for Pz, and then for each epoch
and the same for the non target but with 1079 rows (epochs)?
Another question ¿is it possible write on .csv file the Feature aggregator output? CSV File Writer shows "invalid connection" warning and Generic Stream Writer shows error during the train process.