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
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;
Conference_Titel :
Communications and Information Technology (ICCIT), 2013 Third International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4673-5306-9
DOI :
10.1109/ICCITechnology.2013.6579521