Title: Brainwave authentication using emotional patterns

Authors: Violeta Tulceanu

Addresses: Gh. Zane Institute, Romanian Academy, Iasi Branch, Romania; Faculty of Computer Science, Al.I. Cuza, University of Iasi, Romania

Abstract: In this paper, we are proposing a new concept of authentication that uses credentials to collect and analyse meta-information about the users' mental and emotional state. Identification is performed by verifying the cerebral activation pattern as a result of emotional stimulation using abstract concepts as auditive stimuli. Authorisation is granted if the user's state of mind allows him to responsibly use the resources he is entitled to. The data collected is further used to make predictions about the future behaviour of the user, by analysing the slow variations of the data over time. This type of authentication has applications in fields such as the military, e-learning, health, etc., where it is necessary to be able to establish whether the user was acting responsibly and of his own accord.

Keywords: brainwave authentication; brainwaves; EEG; electroencephalograms; biometrics; signal processing; emotions; emotional patterns; pattern extraction; feature extraction; mental state; emotional state; cerebral activation; emotional stimulation; auditive stimuli; state of mind; user authentication.

DOI: 10.1504/IJAIP.2017.081177

International Journal of Advanced Intelligence Paradigms, 2017 Vol.9 No.1, pp.1 - 31

Received: 06 Oct 2014
Accepted: 28 Apr 2015
Published online: 26 Dec 2016 *

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