DocumentCode :
630464
Title :
The state of the art in electroencephalogram and access control
Author :
Almehmadi, Abdulaziz ; El-Khatib, Khalil
Author_Institution :
Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
49
Lastpage :
54
Abstract :
Electroencephalogram (EEG) is the recorded electrical signals generated by the brain. EEG signals can be recorded using electrodes placed on the scalp. The recorded signal is usually filtered and analyzed for feature extractions. These features have proven to be accurate enough for user authentication. This study provides a deep analysis of different approaches of EEG user authentication, their strength, and weaknesses and draws a conclusion on future directions in this field.
Keywords :
biometrics (access control); electroencephalography; feature extraction; medical signal processing; EEG signals; access control; brain; electrodes; electroencephalogram; feature extractions; recorded electrical signals; user authentication; Authentication; Biometrics (access control); Brain models; Electrodes; Electroencephalography; Biometrics; Electroencephalogram;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technology (ICCIT), 2013 Third International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4673-5306-9
Type :
conf
DOI :
10.1109/ICCITechnology.2013.6579521
Filename :
6579521
Link To Document :
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