EEG-Based Person Identification during Escalating Cognitive Load.

ABSTRACT: With the development of human society, there is an increasing importance for reliable person identification and authentication to protect a person's material and intellectual property. Person identification based on brain signals has captured substantial attention in recent years. These signals are characterized by original patterns for a specific person and are capable of providing security and privacy of an individual in biometric identification. This study presents a biometric identification method based on a novel paradigm with accrual cognitive brain load from relaxing with eyes closed to the end of a serious game, which includes three levels with increasing difficulty. The used database contains EEG data from 21 different subjects. Specific patterns of EEG signals are recognized in t

SUBMITTER: Kralikova I 

PROVIDER: S-EPMC9572021 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature