I was getting chance level accuracy for a BCI motor imagery scenario on subjects, so I tried to run this scenario without a subject and see what results it gives.
It happens that cross-validation accuracy was really high multiple times (CSP + LDA as processing pipeline) with EEG cap on the table. Any recommendations on how to debug this problem?
I can provide screenshots and more info if needed. I analysed this data on python and it gave chance level accuracy, fortunately
Working with OpenViBE signal processing scenarios and doing scenario/BCI design
1 post • Page 1 of 1