This is mostly correct. However, one could add an ML classifier to find patterns in EEG that correspond to e.g. happy vs serious mood. Mood recognition can be d

This is mostly correct. However, one could add an ML classifier to find patterns in EEG that correspond to e.g. happy vs serious mood. Mood recognition can be done from a camera pointed at the face. If there's any rhyme or reason to the set of 1024 EEG series, the network would learn it.