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How can I use MindaffectBCI to detect 7 types of intentions from EEG?
Hello, dear professor, We are trying to get the intention to move the drone from the brain waves to move the drone. So I want to get the command to move the drone from brain waves with MindaffectBCI's cVEP. So I have to classify the brain waves into 7 types. Here is my question.
- how can I use mindaffectBCI's cVEP to get 7 types of brain waves?
- I am using openBCI's cyton16ch, can I get 16ch EEG?
- Where will the data be stored offline?
- Is pre-processing necessary for the acquired EEG (wavelet, STFT, etc.)?
- Are there any recommended machine learning methods, etc.?
- Do you have any recommendations for publications?