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- Article name
- Analysis of methods for recognizing human images by the characteristics of electroencephalograms (Review)
- Authors
- Sulavko A. E., , sulavich@mail.ru, Omsk State Technical University, Omsk, Russia
Kuprik A. I., , ann.ik@mail.ru, Omsk State Technical University, Omsk, Russia
Starkov M. A., , gibsman319@gmail.com, Omsk State Technical University, Omsk, Russia
Stadnikov D. G., , sdg250598@inbox.ru, Omsk State Technical University, Omsk, Russia
- Keywords
- electroencephalogram / identification / authentication / pattern recognition / feature informativeness / brain-computer interface / biometric analysis
- Year
- 2018 Issue 4 Pages 36 - 46
- Code EDN
- Code DOI
- Abstract
- This article focuses on the problem of biometric identification and authentication of the features of the brain using non-invasive neuro-computer interfaces. An analysis of recent publications on this subject is given. A brief data on the methods of recording electroencephalogram (EEG) are given. Main approaches used in the stimulation of human brain to produce persistent reactions and the production of informative EEG are summarized. Commonly used approaches to the analysis of EEG signals for calculating biometric parameters, as well as methods of pattern recognition used in the construction of biometric authentication systems (identification) on the characteristics of EEG, are described. Achieved results on this topic are presented, relevant problems are formulated, directions to their solution are given.
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