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Устойчивая процедура сглаживания данных айтрекинга для анализа микродвижений глазстатья
- Авторы: Дубровский В.Е., Гарусев А.В., Лунякова Е.Г.
- Сборник: Когнитивная наука в Москве: новые исследования. Материалы конференции 19 июня 2019 г. Под ред. Е.В. Печенковой, М.В. Фаликман
- Год издания: 2019
- Место издания: ООО «Буки Веди», ИППиП Москва
- Первая страница: 603
- Последняя страница: 608
- Аннотация: Almost any recording of eye movements is noisy. In most cases, this noise can be neglected, since the error introduced is quite small. But when studying micro-movements of the eyes, the noise level of the equipment matches the amplitude of the useful signal, so it is necessary to smooth the data. Typically, linear smoothers are used to reduce the noise. Since they are very sensitive to outliers and leaps, preliminary median smoothing is performed. It would be useful to have one robust procedure as an alternative to this two-step smoothing process. In this work, another technique is suggested, based on the Huber M-smoother (Tsybakov, Doubrovski, unpublished report, 1990). A program implemented in the MATLAB / OCTAVE environment allowed us to calculate quickly Huber’s estimates in a finite number of steps. The smoothing algorithm was tested on eye movement data containing micro-saccades with amplitudes up to 1 °, and showed high efficiency.
- Добавил в систему: Лунякова Елизавета Геннадьевна