EEG Signal Identification for Brain-Computer Interface

EEG is a brain imaging called electroencephalography (EEG) that measures and displays brain activities with signals. Brain-Computer Interface (BCI), on the other hand, are devices that allow their users to interact with computers only through brain activity. This activity is usually measured by EEG. Brain Computer Interface applications base their functionality either on observing the user’s state or allowing the user to submit their ideas. EEG signals are gathered from the different brain regions with the international 10-20 electrode system as multichannel and the structure of them is very complex. Therefore, the EEG signals need to be analyzed for understanding and recognizing. In this study, the time-frequency characteristics of the EEG signal for the realization of a specific thought or action related to palm opening and closing were investigated. The EEG frequency band and the EEG electrodes (brain region) where the activity can be strongly traced were identified.