Robust Single-Trial EEG-Based Authentication Achieved with a 2-Stage Classifier

• Published in: Biosensors (Basel) Vol. 10; no. 9; p. 124
• Main Authors: Barayeu, Uladzislau, Horlava, Nastassya, Libert, Arno, Van Hulle, Marc
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 13.09.2020; MDPI
• Subjects: Access control; Accuracy; Algorithms; Artificial neural networks; Biometric identification; Biometric Identification - methods; Biometrics; Brain; Channels; Classification; Datasets; Decoders; EEG; Electroencephalography; Entropy; Equipment and supplies; Feature extraction; Humans; Identification; Machine learning; Methods; neural network; Neural networks; Neural Networks, Computer; person authentication; Power; Principal Component Analysis; Principal components analysis; Signal Processing, Computer-Assisted; Support Vector Machine; Support vector machines; SVM; Belarus; SVM; person authentication; neural network; EEG
• ISSN: 2079-6374; 2079-6374
• DOI: 10.3390/bios10090124

The risk of personal data exposure through unauthorized access has never been as imminent as today. To counter this, biometric authentication has been proposed: the use of distinctive physiological and behavioral characteristics as a form of identification and access control. One of the recent devel...