Brain-computer interfaces (BCI) are systems which enable a user to control a device using only his or her neural activity. An important part of a brain-computer interface is an algorithm for classifying different commands that the user may want to execute. There are several neurological phenomena that can be used in a BCI. One of them is event related de-synchronization (ERD), which is a temporary decrease in power of the mu and beta brain waves. This phenomenon can be registered using electroencephalography (EEG) and occurs when a subject performs or imagines a limb movement. The goal of this thesis is to implement an algorithm that would be able to classify EEG signal for controlling an...
Brain-computer interfaces (BCI) are systems which enable a user to control a device using only his or her neural activity. An important part of a brain-computer interface is an algorithm for classifying different commands that the user may want to execute. There are several neurological phenomena that can be used in a BCI. One of them is event related de-synchronization (ERD), which is a temporary decrease in power of the mu and beta brain waves. This phenomenon can be registered using electroencephalography (EEG) and occurs when a subject performs or imagines a limb movement. The goal of this thesis is to implement an algorithm that would be able to classify EEG signal for controlling an...