EEG biometric identification: a thorough exploration of the time-frequency domain

• Published in: Journal of neural engineering Vol. 12; no. 5; pp. 56019 - 56041
• Main Authors: DelPozo-Banos, Marcos, Travieso, Carlos M, Weidemann, Christoph T, Alonso, Jesús B
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.10.2015
• Subjects: Adult; Algorithms; Biometric Identification - methods; Biometrics; biometry; Brain - physiology; brain computer interface (BCI); Constants; electroencephalogram (EEG); Electroencephalography; Electroencephalography - methods; Evoked Potentials - physiology; Exploration; Female; Humans; Male; Pattern Recognition, Automated - methods; Quantitative analysis; Representations; Reproducibility of Results; Rhythm; Segments; Sensitivity and Specificity; subject identification/verification; Young Adult

Objective. Although interest in using electroencephalogram (EEG) activity for subject identification has grown in recent years, the state of the art still lacks a comprehensive exploration of the discriminant information within it. This work aims to fill this gap, and in particular, it focuses on th...