Overview of acquisition protocol in EEG based recognition system

Abstract

Electroencephalogram (EEG) signals are unique neurons’ electrical activity representation, which can support biometric recognition. This paper investigates the potential to identify an individual using brain signals and highlight the challenges of using EEG as a biometric modality in a recognition system. The understanding of designing an effective acquisition protocol is essential to the performance of the EEG-based biometric system. Different acquisition protocols of EEG based recognition i.e. relaxation, motor and non-motor imaginary, and evoked potentials were presented and discussed. Universality, permanence, uniqueness, and collectability are suggested as key requirements for constructing a viable biometric recognition system. Lastly, a summary of recent EEG biometrics studies was depicted before concluding on the findings. It is observed that both motor and non-motor imagery and event-related potential (ERP) outperformed the method of relaxation in acquisition protocol.