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Dr. Eman Ahmed Abdel Ghaffar :: Publications: |
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| Title: | Personal identification system based on multidimensional electroencephalographic signals |
| Authors: | E Abdel ghaffar, M Salama |
| Year: | 2024 |
| Keywords: | Not Available |
| Journal: | Indonesian Journal of Electrical Engineering and Computer Science |
| Volume: | Not Available |
| Issue: | Not Available |
| Pages: | Not Available |
| Publisher: | Not Available |
| Local/International: | International |
| Paper Link: | Not Available |
| Full paper | Eman Ahmed Abdel Ghaffar_7-8-3 Personal identification system based on multidimensional electroencephalographic signals.pdf |
| Supplementary materials | Not Available |
| Abstract: |
Personal authentication using electroencephalographic (EEG) signals, is one of the important applications in brain computer interface (BCI). In this work we investigate the use of EEG signals as a biometric trait. Multidimensional EEG signals were represented as symmetric positive-definite (SPD) matrices on a Riemannian manifold. Two experiments are performed in the first; we use minimum distance to Riemannian mean (MDRM) as a classifier. In the second; SPD matrices are vectorized, and the generated vectors are used to train various machine learning (ML) classifiers. MDRM classifier achieved a correct recognition rate (CRR) of 96.92% , while ML classifiers achieved CRR from 95.39% to 99.45% |
