May 27, 2015 · In this paper, we perform person identification on two datasets, Australian and Alcoholism EEG, then compare the classification rates between ...
In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol, ...
However, this issue has not been investigated. In this paper, we perform person identification on two groups of subjects, normal and epileptic to investigate ...
Biometric-based cryptographic key generation is regarded as a data mining application that uses knowledge dis- covery techniques to extract biometric ...
In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol ...
Missing: Person | Show results with:Person
Sanei, S., Chambers, J.A.: EEG Signal Processing. · Pham, T., Ma, W., Tran, D., Nguyen, P., Phung, D.: A study on the feasibility of using EEG signals for ...
PDF | In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy.
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Sep 11, 2020 · This study mainly focuses on person identification using EEG analysis to find unique brain signal patterns. 0.1 Related research. Relevance for ...
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Dec 6, 2022 · Despite the growing interest in the use of electroencephalogram (EEG) signals as a potential biometric for subject identification and the ...
In this paper, we investigate impacts of brain conditions on an EEG-based cryptographic key generation system. Brain disorders, such as epilepsy and alcohol ...
Missing: Person | Show results with:Person