Title :
EEG for Automatic Person Recognition
Author :
Campisi, Patrizio ; La Rocca, Daria ; Scarano, Gaetano
Author_Institution :
Univ. Degli Studi Roma Tre, Rome, Italy
fDate :
7/1/2012 12:00:00 AM
Abstract :
Electroencephalography is potentially more secure and privacy-compliant than traditional biometric identifiers. A related video can be seen here: http://youtu.be/5f0zflJRnvc. It depicts four maps representing the spatial distribution on the scalp of an EEG signal in time for the four bands Delta, Theta, Alpha, and Beta. Another related video can be seen here: http://youtu.be/X34pUw-4z_8. It depicts the spatial distribution on the scalp of an EEG amplitude spectral density (top) for frequencies ranging in the [1, 30] Hz interval (bottom).
Keywords :
biometrics (access control); electroencephalography; medical signal processing; EEG amplitude spectral density; EEG signal; automatic person recognition; biometric identifiers; electroencephalography; spatial distribution; Biometrics (access control); Computer security; Data security; Electroencephalography; Privacy; EEG; biometrics; electroencephalography; identity sciences;
DOI :
10.1109/MC.2012.233
