Voronezh State University (laboratoriya medicinskoy kibernetiki, zaveduyuschiy laboratoriey)
Voronezh, Voronezh, Russian Federation
In the article the problem of development and implementation of computer systems for monitoring the movement of the eye based on videooculography – one of the most promising method of monitoring eye movements. During hardware and system implementation issues have been solved, which appears when you select this method of detecting eye movement, associated with the sustainable allocation of the pupil and the false detection of involuntary eye movements. The system was successfully tested on 28 users on a self-propelled chassis. Currently tested systems are integrated into a virtual reality helmet.
information technology, oculography, videooculography, neurocomputer interface.
СЕКЦИЯ «ВЫЧИСЛИТЕЛЬНЫЕ АЛГОРИТМЫ И КОМПЬЮТЕРНЫЕ ТЕХНОЛОГИИ В ПРОЦЕССАХ УПРАВЛЕНИЯ»
УДК 004.5
РАЗРАБОТКА КОМПЬЮТЕРНОЙ СИСТЕМЫ МОНИТОРИНГА ДВИЖЕНИЯ ГЛАЗ
DEVELOPMENT OF A COMPUTER SYSTEM FOR MONITORING EYE MOVEMENT
Алексеев А.В., магистрант,
Кургалин С.Д., д.ф.-м.н., профессор,
Туровский Я.А., к.м.н., доцент
ФГБОУ ВПО «Воронежский государственный университет»
г. Воронеж, Россия
DOI: 10.12737/15993
Аннотация: Рассматриваются проблемы разработки и реализации компьютерной системы мониторинга движения глаз на основе видеоокулографии. В ходе программно-аппаратной реализации системы решены задачи устойчивого выделенияна изображении зрачка и устранения ложного детектирования непроизвольных движений глаз. Проведено тестирование системы, интегрированной в шлем виртуальной реальности.
Summary: In the article the problem of development and implementation of computer systems for monitoring the movement of the eye based on videooculography – one of the most promising method of monitoring eye movements. During hardware and system implementation issues have been solved, which appears when you select this method of detecting eye movement, associated with the sustainable allocation of the pupil and the false detection of involuntary eye movements. The system was successfully tested on 28 users on a self-propelled chassis. Currently tested systems are integrated into a virtual reality helmet.
Ключевые слова:информационные технологии, окулография, видеоокулография, нейрокомпьютерный интерфейс.
Keywords:information technology, oculography, videooculography, neurocomputer interface.
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