Finding Harmony in Security: An Exploration of EEG and Music for Authentication
Electroencephalography (EEG) has been researched as a potential biometric for almost two decades. The most promising techniques to obtain reliable authentication credentials have been the use of evoked potentials, or the process of measuring the change in neurological activity induced by introducing the subject to a stimulus. Research in which the stimuli are visual have yielded accuracy rates approaching those of other popular biometrics. However, if EEG authentication was to become a viable biometric, visual stimuli has practical drawbacks. Using evoked potentials, this study investigates the efficacy of auditory stimuli, more specifically music, instead. Using statistical analysis on the time-frequency readings of 5 participants this study seeks features of musically evoked potentials that have the necessary properties for authentication.