Name
Abstract | ||
|---|---|---|
Biometric person recognition using EEG signals has received considerable attention in recent years. This paper proposes a new feature based on the co-activation of EEG sensors. A visual representation of this co-activation feature is used to illustrate the identity-bearing nature of the proposed feature. The DEAP database was used to evaluate the proposed feature which was presented in the form of a visual signature indicating the spatial correlations around the scalp of EEG signals for an individual. The results show a high identification accuracy irrespective of the emotional state of the data subjects. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1049/cp.2019.1170 | 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-2019) |
Keywords | DocType | ISBN |
Biometrics,person recognition,feature extraction,EEG | Conference | 978-1-83953-109-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Al-Darkazali | 1 | 0 | 0.34 |
| Sanaul Hoque | 2 | 93 | 13.16 |
| Farzin Deravi | 3 | 296 | 36.61 |