FINGERS MOTION DETECTION BASED ON ELECTROCORTICOGRAM USING A PARAMETRIC MODEL
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 5
Abstract
The paper presents application of a parametric model of brain activity to detect the presence of finger motion for use in neurocomputer interfaces. The approach is based on the construction of a parametric autoregressive-moving average model with the previous choice of the main channel and the application of machine learning based on multilayer neural network, for determination of any finger motion. As a result of using the proposed approach the accuracy of the classification is 95.5%. For moments without motion, the true positive determination is 91.0%, for moments with a motion of 100%. The proposed approach is new and can be used to create brain–computer interfaces.
Authors and Affiliations
М. В. Яненко, А. О. Попов
Keywords
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