On the Permanence of EEG Signals for Biometric Recognition


Brain signals are investigated for more than a century within the medical field. However, despite the broad interest in clinical applications, their use as a biometric identifier has been only recently thought of by the scientific community. During this paper, we specialise in the permanence across time of brain signals, specifically of electroencephalographic (EEG) signals, issue of paramount importance for the deployment of brain-based mostly biometric recognition systems in real life, not nonetheless absolutely addressed. In explicit, we tend to speculate regarding the steadiness of EEG options by analyzing the popularity performance that can be achieved when comparing EEG signals acquired during totally different sessions. We carry out an in depth set of experimental tests, performed on many EEG-primarily based biometric systems over a giant database, comprising 3 recordings taken from fifty healthy subjects in resting state conditions, acquired in a time span of approximately one month and a half. The results ensure that a significant level of permanence can be guaranteed.

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