The human learning to adapt to the machine has been the way EEG-based brain computer interfaces have been made for a couple of decades. Using machine learning t

The human learning to adapt to the machine has been the way EEG-based brain computer interfaces have been made for a couple of decades. Using machine learning to adapt the machine to the human is a much more recent development. It is possible today to make EEG controlled devices. They typically differentiate between a small number of real or imagined movements in the user. This is awesome, because it can allow severely paralyzed people to communicate, control a wheelchair. etc. Nevertheless, the algorithms used to do this are perfectly useless when it comes to distinguishing whatever words the user is internally vocalizing.