Active Upper Limb Prosthesis

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but.event.date23.04.2020cs
but.event.titleStudent EEICT 2020cs
dc.contributor.authorBrázdil, Štěpán
dc.date.accessioned2021-07-15T13:12:38Z
dc.date.available2021-07-15T13:12:38Z
dc.date.issued2020cs
dc.description.abstractThis work focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a mobile prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and subsequent moving of the limb model. The measurements and test are executed on the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated, and future improvements are discussed.en
dc.formattextcs
dc.format.extent60-63cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings II of the 26st Conference STUDENT EEICT 2020: Selected Papers. s. 60-63. ISBN 978-80-214-5868-0cs
dc.identifier.isbn978-80-214-5868-0
dc.identifier.urihttp://hdl.handle.net/11012/200620
dc.language.isoencs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings II of the 26st Conference STUDENT EEICT 2020: Selected papersen
dc.relation.urihttps://conf.feec.vutbr.cz/eeict/EEICT2020cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectActive prosthesisen
dc.subjectEMGen
dc.subjectclassificationen
dc.subjectRaspberry Pien
dc.subjectInMooven
dc.titleActive Upper Limb Prosthesisen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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