Personal Identification Based on Brain Networks of EEG Signals
Personal identification is particularly important in information security. There are numerous advantages of using electroencephalogram (EEG) signals for personal identification, such as uniqueness and anti-deceptiveness. Currently, many researchers focus on single-dataset personal identification, in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2018-12-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/amcs-2018-0057 |