Identity Assurance through EEG Recordings

The problem of identity assurance, i.e. determining if a claimed identity can be trusted, has been gaining relevance in the last decade, due to the increasing use of on-line services. While this trend can be seen for many biometric sensors, very few studies have considered the use of brain electric signals. This contribution proposes a first solution, based on the reconstruction of motifs (patterns of connectivity between three electroencephalographic sensors) and on the assessment of their stability across different trials for a single subject. Results indicate that, although computationally costly, this approach is promising in terms of the classification scores obtained.