10.14489/vkit.2016.03.pp.044-049

DOI: 10.14489/vkit.2016.03.pp.044-049

Попов Е. Ю., Фоменков С. А.
АУТЕНТИФИКАЦИЯ ПОЛЬЗОВАТЕЛЯ НА ОСНОВЕ ПАТТЕРНОВ СИГНАЛОВ ГОЛОВНОГО МОЗГА ПРИ РАЗЛИЧНЫХ ВИДАХ МЕНТАЛЬНОЙ АКТИВНОСТИ
(c. 44-49)

Аннотация. Даны описания актуальности и преимуществ разработки метода аутентификации на основе паттернов сигналов головного мозга пользователя. Проведены исследования возможности применения паттернов сигналов головного мозга, полученных при выполнении различных ментальных задач, для решения задачи аутентификации. Разработаны метод и алгоритм, использующие паттерны сигналов головного мозга, позволяющие решить задачу аутентификации на основе данных одноканального электроэнцефалографического сигнала.

Ключевые слова: аутентификация; электроэнцефалография; нейрокомпьютерный интерфейс; косинусное сходство.

Popov E. Yu., Fomenkov S. A.
USER AUTHENTICATION BASED ON BRAIN SIGNAL PATTERNS FOR DIFFERENT MENTAL ACTIVITIES
(pp. 44-49)

Abstract. This paper describes authentication method based on brain signals patterns. The study covered several types of mental tasks for authentication problem: breathing, finger movement imagination, sport activity imagination, singing imagination, background music, counting color objects, thought-password, large numbers multiplication. Single channel brain-computer interface NeuroSky MindWave Mobile was used in the study. This interface has one non-invasive electrode, which was located on the left frontal lobes of the brain. Seven persons participated in collecting experimental data. Using NeuroSky MindWave Mobile were collected 560 examples of brain signals including a-, b-, g-, d- and q-waves. Only signals of a- and b-waves were used further in the study, because these waves dominate in the electroencephalogram when performing mental tasks. Several authentication protocols based on cosine similarity of brain signals for different mental tasks were proposed and evaluated in this paper. Base authentication protocol uses one threshold for brain signals for all users. Improved authentication protocol uses personal threshold for brain signals for every user. Final authentication protocol uses personal threshold for brain signals and personal mental task for every user. False acceptance rate, false rejection rate and half total error rate measures were used to evaluate quality of developed authentication protocols. The results suggest that final authentication protocol can be used in practice.

Keywords: Authentication; Electroencephalography; Brain-computer interface; Cosine similarity.

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Е. Ю. Попов, С. А. Фоменков (Волгоградский государственный технический университет) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

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E. Yu. Popov, S. A. Fomenkov (Volgograd State Technical University) E-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript

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