The paper introduces a new method called ABCL-EHI for human identification using electroencephalographic (EEG) signals. EEG signals have unique information among individuals, but current systems lack accuracy and usability. ABCL-EHI addresses this by combining a convolutional neural network (CNN) and a long short-term memory (LSTM) network with an attention mechanism. This attention mechanism enhances the utilization of spatial and temporal characteristics of EEG signals. The proposed system is evaluated using a public dataset of EEG signals from 109 subjects performing motor/imagery tasks. The results demonstrate that ABCL-EHI achieves high accuracy, with F1-Score scores of 99.65, 99.65, and 99.52 when using 64, 14, and 9 EEG channels, respectively. This outperforms previous studies and highlights the system's reliability and ease of deployment in real-life applications, as it maintains high accuracy even with a small number of EEG channels and allows users to perform various tasks while recording signals.
Khatibi,T and Zarean,J . (2024). Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification. Journal of Algorithms and Computation, 56(1), 123-145. doi: 10.22059/jac.2024.370579.1206
MLA
Khatibi,T , and Zarean,J . "Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification", Journal of Algorithms and Computation, 56, 1, 2024, 123-145. doi: 10.22059/jac.2024.370579.1206
HARVARD
Khatibi T, Zarean J. (2024). 'Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification', Journal of Algorithms and Computation, 56(1), pp. 123-145. doi: 10.22059/jac.2024.370579.1206
CHICAGO
T Khatibi and J Zarean, "Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification," Journal of Algorithms and Computation, 56 1 (2024): 123-145, doi: 10.22059/jac.2024.370579.1206
VANCOUVER
Khatibi T, Zarean J. Proposing a novel attention-based deep neural network (ABCL-EHI) for EEG-based human biometric identification. J. Algo. Comp.. 2024;56(1):123-145. doi: 10.22059/jac.2024.370579.1206
