User identification based on electroencephalography data using «Brain Computer Interface» technology

Abstract: Researched the main ways of user identification based on EEG.. Considered the best ways of EEG signal preprocessing. Offered the directions for further development of identification and authentication methods based on response to stimulation using classification methods.

Keywords: identification, electroencephalography, bci, classification, linear discriminant analysis, spatial filtering, fuzzy data, biometric key, password thought, imagined movement, visual evoked potentials