This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
EEG for Automatic Person Recognition
July 2012 (vol. 45 no. 7)
pp. 87-89
G. Scarano, Sapienza Univ. di Roma, Rome, Italy
D. La Rocca, Univ. Degli Studi Roma Tre, Rome, Italy
P. Campisi, Univ. Degli Studi Roma Tre, Rome, Italy
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).
Index Terms:
medical signal processing,biometrics (access control),electroencephalography,EEG amplitude spectral density,automatic person recognition,electroencephalography,biometric identifiers,spatial distribution,EEG signal,Electroencephalography ,Biometrics (access control),Computer security,Privacy,Data security,EEG,identity sciences,biometrics,electroencephalography
Citation:
G. Scarano, D. La Rocca, P. Campisi, "EEG for Automatic Person Recognition," Computer, vol. 45, no. 7, pp. 87-89, July 2012, doi:10.1109/MC.2012.233
Usage of this product signifies your acceptance of the Terms of Use.