Multichannel Emg Signal Processing For Gesture Recognition

Simple item page
but.event.date26.04.2018cs
but.event.titleStudent EEICT 2018cs
dc.contributor.authorBrázdil, Štěpán
dc.date.accessioned2019-03-04T10:05:38Z
dc.date.available2019-03-04T10:05:38Z
dc.date.issued2018cs
dc.description.abstractThis work deals with the complex solution of the problem concerning the design and implementation of the system for the collection, classification and visualization of EMG signal. Project is designed with respect to possible future applications like implementation of a real limb model controlled by the proposed system. The main goal of this work is developing of functional program code in Matlab that allows visualization basic upper limb gestures (e. g. grip, finger extension) in the graphical user interface.en
dc.formattextcs
dc.format.extent113-115cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 24th Conference STUDENT EEICT 2018. s. 113-115. ISBN 978-80-214-5614-3cs
dc.identifier.isbn978-80-214-5614-3
dc.identifier.urihttp://hdl.handle.net/11012/138185
dc.language.isoczcs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 24th Conference STUDENT EEICT 2018en
dc.relation.urihttp://www.feec.vutbr.cz/EEICT/cs
dc.rights© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.rights.accessopenAccessen
dc.subjectEMGen
dc.subjectclassificationen
dc.subjectBITalinoen
dc.subjectMatlaben
dc.subjectgestures of upper limben
dc.titleMultichannel Emg Signal Processing For Gesture Recognitionen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
eeict2018-113.pdf
Size:
787.61 KB
Format:
Adobe Portable Document Format
Description:
Download
Collections
Student EEICT 2018