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).
Campisi, P., D., L.R., G., S. (2012). EEG for Automatic Person Recognition. COMPUTER, 45(7), 87-89 [10.1109/MC.2012.233].
EEG for Automatic Person Recognition
CAMPISI, PATRIZIO;
2012-01-01
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).I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
