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Identification of a oculo-motor system human based on Volterra kernels

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dc.contributor.author Pavlenko, Vitalii Павленко, Віталій Данилович
dc.contributor.author Salata, Dmytro
dc.contributor.author Hryhori P. Chaikovskyi
dc.date.accessioned 2019-02-08T06:59:21Z
dc.date.available 2019-02-08T06:59:21Z
dc.date.issued 2017
dc.identifier.citation Pavlenko, V. D., Salata, D. V., Hryhori P. Chaikovskyi. (2017). Identification of a oculo-motor system human based on Volterra kernels. International Journal of Biology and Biomedical Engineering, Vol. 11, 121-126. en
dc.identifier.citation Pavlenko, V. D. Identification of a oculo-motor system human based on Volterra kernels / V. D. Pavlenko, D. V. Salata, Hryhori P. Chaikovskyi // International Journal of Biology and Biomedical Engineering. - 2017. - Vol. 11. - P. 121-126. en
dc.identifier.uri http://www.naun.org/main/NAUN/bio/2017/a362010-041.pdf
dc.identifier.uri http://dspace.opu.ua/jspui/handle/123456789/8312
dc.description.abstract A new method of constructing nonparametric dynamic model of the human oculomotor system on the basis of experimental data "input-output" is developed, considering nonlinear and inertial properties of the rectus muscles of the eye. A technology for tracking eye movement is based on the videos. It is possible to determine the dynamic characteristics of the oculo-motor system system functions as a transition of the first and second order - integral transforms Volterra kernels. en
dc.language.iso en_US en
dc.subject oculo-motor system en
dc.subject eye-tracking technology en
dc.subject modeling en
dc.subject multidimensional transient characteristics en
dc.subject Volterra kernels en
dc.subject nonparametric dynamic models en
dc.title Identification of a oculo-motor system human based on Volterra kernels en
dc.type Article en
opu.kafedra Кафедра комп’ютеризованих систем управління uk
opu.citation.journal International Journal of Biology and Biomedical Engineering en
opu.citation.firstpage 121 en
opu.citation.lastpage 126 en
opu.citation.issue Vol.11 en
opu.staff.id pavlenko@opu.ua en


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