Human Brain Distinctiveness Based on EEG Spectral Coherence Connectivity

• Published in: IEEE transactions on biomedical engineering Vol. 61; no. 9; pp. 2406 - 2412
• Main Authors: Rocca, D. La, Campisi, P., Vegso, B., Cserti, P., Kozmann, G., Babiloni, F., Fallani, F. De Vico
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.09.2014; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Accuracy; Biometric Identification; Biometrics; Biometrics (access control); Brain; Brain - physiology; Cognitive science; Coherence; Computer Science; Electrodes; Electroencephalography; Electroencephalography - methods; Engineering Sciences; Feature extraction; Humans; Machine Learning; Neuroscience; Signal and Image processing; Signal Processing, Computer-Assisted; Vectors; Biometrics; electroencephalography (EEG); resting state; spectral coherence; match score fusion; Resting state; Match score fusion; EEG; Spectral coherence
• ISSN: 0018-9294; 1558-2531; 1558-2531
• DOI: 10.1109/TBME.2014.2317881

The use of EEG biometrics, for the purpose of automatic people recognition, has received increasing attention in the recent years. Most of the current analyses rely on the extraction of features characterizing the activity of single brain regions, like power spectrum estimation, thus neglecting poss...