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dc.date.accessioned2023-11-22T16:10:27Z
dc.date.available2023-11-22T16:10:27Z
dc.date.issued2023
dc.identifierdoi:10.17170/kobra-202311028942
dc.identifier.urihttp://hdl.handle.net/123456789/15206
dc.language.isoeng
dc.rightsUrheberrechtlich geschützt
dc.rights.urihttps://rightsstatements.org/page/InC/1.0/
dc.subject.ddc510
dc.titleGeneration Human Body Motion by the Centralized Networkseng
dc.typeDissertation
dcterms.abstractThe main goal of the thesis is to describe and study reduced models for efficient simulations of human body motions (HBM). To this end, we propose new coupled oscillator models, which are networks of dynamically coupled elements. These networks consist of a few of centers and many satellites. The centers evolve in time as periodical oscillators with different frequencies. The satellite states are defined via center states by a radial basis function (RBF) networks. To simulate different motions we adjust the parameter of the RBF networks and frequencies of centers. Moreover, our network includes a switching module that allows to turn from a motion to another one, say, from jumping to walking. It is shown that this model is capable to simulate complicated motions consisting of many different elements dynamical primitives (walking, running, jumping etc.).eng
dcterms.accessRightsopen access
dcterms.creatorMorozov, Ivan
dcterms.dateAccepted2023-09-06
dcterms.extentiv, 82 Seiten
dc.contributor.corporatenameKassel, Universität Kassel, Fachbereich Mathematik und Naturwissenschaften, Institut für Mathematik
dc.contributor.refereeSeiler, Werner M. (Prof. Dr.)
dc.contributor.refereeValkulenko, Sergey (Prof. Dr.)
dc.contributor.refereeRegensburger, Georg (Prof. Dr.)
dc.contributor.refereeLindner, Felix (Prof. Dr.)
dc.subject.swdKörperger
dc.subject.swdBewegungger
dc.subject.swdNeuronales Netzger
dc.subject.swdRadiale Basisfunktionger
dc.subject.swdHopfield-Netzger
dc.subject.swdSimulationger
dc.type.versionpublishedVersion
kup.iskupfalse
ubks.epflichttrue


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