User Authentication by Electroencephalographic Signals when Blinkin

  • Lev A. Stankevich Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia https://orcid.org/0000-0002-5825-5482
  • Sabina S. Amanbaeva Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia
  • Aleksandr V. Samochadin 1Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia
Keywords: electroencephalogram, authentication, blinking, electrooculogram, machine learning, classification, Muse Headband, , distance education

Abstract

The article presents the results of a study in the field of applying electroencephalography (EEG) for human authentication. An algorithm for EEG authentication based on blinks has been developed and described. Authentication is carried out by one blink, which takes 2-5 seconds. The data is collected using a Muse electroencephalograph. Data preprocessing includes wavelet transform and blink detection. Geometric characteristics of the EEG signals are used as features. Recognition is conducted by the Random Forest classifier. According to the test results, the percentage of correct authentication was 95 %. There is the possibility of background authentication. The implemented system may be used to authenticate students at distant education.

Author Biographies

Lev A. Stankevich, Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia

Associate professor, Lead Programmer, Mobile Device Management laboratory, Institute of Computer Science and Technology? Peter the Great St.Petersburg Polytechnic University, stankevich_lev@inbox.ru

Sabina S. Amanbaeva, Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia

Laboratory assistant, Mobile Device Management laboratory, Institute of Computer Science and Technology, Peter the Great St.Petersburg Polytechnic University, sabisha2704@mail.ru

Aleksandr V. Samochadin, 1Peter the Great St.Petersburg Polytechnic University, Polytechnicheskaya st, 29, 195251, Saint Petersburg, Russia

PhD, Head of laboratory, Mobile Device Management laboratory, Institute of Computer Science and Technology, Peter the Great St.Petersburg Polytechnic University, samochadin@gmail.com

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Published
2019-09-30
How to Cite
Stankevich, L. A., Amanbaeva, S. S., & Samochadin, A. V. (2019). User Authentication by Electroencephalographic Signals when Blinkin. Computer Tools in Education, (3), 52-69. https://doi.org/10.32603/2071-2340-2019-3-52-69
Section
Informational systems