Model predictive control for modeling human gait motions assisted by Vicon technology

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dc.contributor.authorKrčmařík Davidcs
dc.contributor.authorMoezzi Rezacs
dc.contributor.authorHlava Jaroslavcs
dc.date.accessioned2021-01-14T18:07:42Z
dc.date.available24-51-2020en
dc.date.available2021-01-14T18:07:42Z
dc.date.issued2020-01-01cs
dc.date.updated08-44-2021en
dc.format.extent12cs
dc.identifier.doi10.18280/jesa.530501
dc.identifier.issn1269-6935cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/158720
dc.language.isoengcs
dc.publisherInternational Information and Engineering Technology Associationcs
dc.relation.ispartofJournal Europeen des Systemes Automatisesen
dc.relation.ispartofseries1cs
dc.relation.urihttp://www.iieta.org/journals/jesa/paper/10.18280/jesa.530501cs
dc.subject5-linkcs
dc.subjectmechanismcs
dc.subjectCentral nervous systemcs
dc.subjectHuman gait modelcs
dc.subjectHuman gait plantcs
dc.subjectModel predictive controlcs
dc.subjectVicon motion capturecs
dc.titleModel predictive control for modeling human gait motions assisted by Vicon technologycs
local.citation.epage589-600cs
local.citation.spage589-600cs
local.identifier.publikace8047
local.relation.issue5cs
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