On the Permanence of EEG Signals for Biometric Recognition. Maiorana, E., La Rocca, D., & Campisi, P. IEEE Transactions on Information Forensics and Security, 11(1):163-175, IEEE, 1, 2016.
On the Permanence of EEG Signals for Biometric Recognition [link]Website  abstract   bibtex   
Brain signals have been investigated for more than a century in the medical field. However, despite the broad interest in clinical applications, their use as a biometric identifier has been only recently considered by the scientific community. In this paper, we focus on the permanence across time of brain signals, specifically of electroencephalographic (EEG) signals, issue of paramount importance for the deployment of brain-based biometric recognition systems in real life, not yet fully addressed. In particular, we speculate about the stability of EEG features by analyzing the recognition performance that can be achieved when comparing EEG signals acquired during different sessions. We carry out an extensive set of experimental tests, performed on several EEG-based biometric systems over a large database, comprising three recordings taken from 50 healthy subjects in resting state conditions, acquired in a time span of approximately one month and a half. The results confirm that a significant level of permanence can be guaranteed.
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 title = {On the Permanence of EEG Signals for Biometric Recognition},
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 year = {2016},
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 keywords = {authentication,biometric,eeg,healthcare,identification},
 pages = {163-175},
 volume = {11},
 websites = {http://dx.doi.org/10.1109/tifs.2015.2481870},
 month = {1},
 publisher = {IEEE},
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 abstract = {Brain signals have been investigated for more than a century in the medical field. However, despite the broad interest in clinical applications, their use as a biometric identifier has been only recently considered by the scientific community. In this paper, we focus on the permanence across time of brain signals, specifically of electroencephalographic (EEG) signals, issue of paramount importance for the deployment of brain-based biometric recognition systems in real life, not yet fully addressed. In particular, we speculate about the stability of EEG features by analyzing the recognition performance that can be achieved when comparing EEG signals acquired during different sessions. We carry out an extensive set of experimental tests, performed on several EEG-based biometric systems over a large database, comprising three recordings taken from 50 healthy subjects in resting state conditions, acquired in a time span of approximately one month and a half. The results confirm that a significant level of permanence can be guaranteed.},
 bibtype = {article},
 author = {Maiorana, Emanuele and La Rocca, Daria and Campisi, Patrizio},
 journal = {IEEE Transactions on Information Forensics and Security},
 number = {1}
}
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