Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices

dc.contributor.author	Vega A.V.
dc.contributor.author	Madrigal O.C.
dc.contributor.author	Kugurakova V.
dc.date.accessioned	2022-02-09T20:48:25Z
dc.date.available	2022-02-09T20:48:25Z
dc.date.issued	2021
dc.identifier.issn	2367-3370
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/170421
dc.description.abstract	Virtual Reality simulators allow surgical training in a safe and controlled environment. Through simulation, procedures can be repeated until a certain level of skill is acquired. This paper presents a fuzzy logic model implemented separately from the Virtual Reality simulator so that it can be used from other simulators. Multiple linear regression is applied for training using a Python library. The model is part of a self-adaptive model for a Virtual Reality-based surgery simulator.
dc.relation.ispartofseries	Lecture Notes in Networks and Systems
dc.subject	Appendectomy
dc.subject	Fuzzy logic
dc.subject	Surgery
dc.subject	Virtual reality
dc.title	Fuzzy Control Model to Determine the Score in Virtual Reality-Based Appendectomy Practices
dc.type	Conference Proceeding
dc.relation.ispartofseries-volume	232 LNNS
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	899
dc.source.id	SCOPUS23673370-2021-232-SID85120581541

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.