linear, non matrix P300
Posted: 12 Jul 2011, 04:22
Hello,
for a special P300 application, i need a non matrix interface for the P300 speller.
i tried to change the matrix in the LoadMenu function, so that a matrix becomes
[1][0][0][0][0]
[0][2][0][0][0]
[0][0][3][0][0] => [1][2][3][4][5]
[0][0][0][4][0]
[0][0][0][0][5]
while all '0' targets haven't any stimulus type, only 1-5.
That 'sometimes' causes some errors:
'Application'Task::Process: unhandled exception class std::__non_rtti_object (Access violation - no RTTI data!),
terminating Application module.
All i want to know is, if the empty matrix elements are causing the error and if the classifier would be able to handle with the matrix.
On some testruns, the Feature Weights are generated successfully. But the instable behaviour of the programm doesn't please me.
Also i wonder, if this is the right way to make a vector (non matrix) interface or if i should think about doing changes to the classifier.
I'm happy about every weblink, that gives me some knowledge about this
.
Thank you for attention,
Stefan
for a special P300 application, i need a non matrix interface for the P300 speller.
i tried to change the matrix in the LoadMenu function, so that a matrix becomes
[1][0][0][0][0]
[0][2][0][0][0]
[0][0][3][0][0] => [1][2][3][4][5]
[0][0][0][4][0]
[0][0][0][0][5]
while all '0' targets haven't any stimulus type, only 1-5.
That 'sometimes' causes some errors:
'Application'Task::Process: unhandled exception class std::__non_rtti_object (Access violation - no RTTI data!),
terminating Application module.
All i want to know is, if the empty matrix elements are causing the error and if the classifier would be able to handle with the matrix.
On some testruns, the Feature Weights are generated successfully. But the instable behaviour of the programm doesn't please me.
Also i wonder, if this is the right way to make a vector (non matrix) interface or if i should think about doing changes to the classifier.
I'm happy about every weblink, that gives me some knowledge about this
Thank you for attention,
Stefan