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Интеллектуальная Система Тематического Исследования НАукометрических данных |
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P300 BCI system for detection of covert emotional focuses of attentionтезисы доклада
- Авторы: Ganin I., Kosichenko E., Kaplan A.
- Сборник: Cybathlon Symposium 2016
- Тезисы
- Год издания: 2016
- Место издания: Kloten, Switzerland
- Первая страница: 70
- Последняя страница: 70
- Аннотация: Brain-computer interface (BCI) enables an individual to send messages or control devices, directly using their EEG [1]. P300 BCI is based on the visual oddball paradigm, known to elicit the P300 component of the event-related potentials (ERP), when the user is consciously paying attention to the desired stimulus. However, the attention response to external stimulus can be obtained when the presented stimuli vary in their significance according to subject’s personal experience. We hypothesize that using P300 BCI a system for ERP-based detection of covert intentions or psycho-emotional states of subject can be built. For primary evaluation of the classification possibility of ERPs in response to stimuli with covert meaning we used photos of neutral and emotional human faces. Fourteen healthy subjects took part in the experiment. The task in the ‘Emotional Unattended’ mode was just to view the center of the screen, where the photos were presented. The task in the ‘Emotional Attended’ and ‘Neutral Attended’ modes was to count the number of the target photo appearances among others (emotional among neutral ones or neutral among neutral ones). We discovered that using emotional faces as stimuli enhanced the amplitude of several ERP components. In the ‘Emotional Unattended’ condition the emotional faces were classified as target stimuli with the accuracy of 36.4%, which exceeds the random level more than twice. The mean classification accuracy in ‘Emotional Attended’ condition was 97.1%. Our results provide evidence that using emotional faces as stimuli increases the efficiency of P300 BCI operating and, with adapting presentation paradigm and classification techniques, can be used for creating ERP-based systems for emotional focuses detection.
- Добавил в систему: Ганин Илья Петрович