Brain Computer Interface for Biometric Authentication by Recording Signa

2019 ◽  
Author(s):  
Abd Abrahim Mosslah ◽  
Reyadh Hazim Mahdi ◽  
Shokhan M. Al-Barzinji
2019 ◽  
Vol 11 (03) ◽  
pp. 21-29
Author(s):  
Abd Abrahim Mosslah ◽  
Reyadh Hazim Mahdi ◽  
Shokhan M. Al-Barzinji

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Shuai Zhang ◽  
Lei Sun ◽  
Xiuqing Mao ◽  
Cuiyun Hu ◽  
Peiyuan Liu

With the rapid development of brain-computer interface technology, as a new biometric feature, EEG signal has been widely concerned in recent years. The safety of brain-computer interface and the long-term insecurity of biometric authentication have a new solution. This review analyzes the biometrics of EEG signals, and the latest research is involved in the authentication process. This review mainly introduced the method of EEG-based authentication and systematically introduced EEG-based biometric cryptosystems for authentication for the first time. In cryptography, the key is the core basis of authentication in the cryptographic system, and cryptographic technology can effectively improve the security of biometric authentication and protect biometrics. The revocability of EEG-based biometric cryptosystems is an advantage that traditional biometric authentication does not have. Finally, the existing problems and future development directions of identity authentication technology based on EEG signals are proposed, providing a reference for the related studies.


2013 ◽  
Vol 133 (3) ◽  
pp. 635-641
Author(s):  
Genzo Naito ◽  
Lui Yoshida ◽  
Takashi Numata ◽  
Yutaro Ogawa ◽  
Kiyoshi Kotani ◽  
...  

Author(s):  
Selma Büyükgöze

Brain Computer Interface consists of hardware and software that convert brain signals into action. It changes the nerves, muscles, and movements they produce with electro-physiological signs. The BCI cannot read the brain and decipher the thought in general. The BCI can only identify and classify specific patterns of activity in ongoing brain signals associated with specific tasks or events. EEG is the most commonly used non-invasive BCI method as it can be obtained easily compared to other methods. In this study; It will be given how EEG signals are obtained from the scalp, with which waves these frequencies are named and in which brain states these waves occur. 10-20 electrode placement plan for EEG to be placed on the scalp will be shown.


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