Semi-Automatic Segmentation Of On-Line Handwriting

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but.event.date25.04.2019cs
but.event.titleStudent EEICT 2019cs
dc.contributor.authorGavenčiak, Michal
dc.date.accessioned2020-04-16T07:19:26Z
dc.date.available2020-04-16T07:19:26Z
dc.date.issued2019cs
dc.description.abstractThis paper deals with the automation of digital trace data segmentation. The data are obtained from a digitizing tablet and are then subjected to handwriting analysis, providing quantified information about a person’s handwriting, which might help in the diagnosis of handwriting difficulties. In order to successfully analyze the data, they must be segmented by individual handwriting exercise. Implementation of a python-based program with a GUI is described along with its basic functionality.en
dc.formattextcs
dc.format.extent54-57cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationProceedings of the 25st Conference STUDENT EEICT 2019. s. 54-57. ISBN 978-80-214-5735-5cs
dc.identifier.isbn978-80-214-5735-5
dc.identifier.urihttp://hdl.handle.net/11012/186616
dc.language.isocscs
dc.publisherVysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologiícs
dc.relation.ispartofProceedings of the 25st Conference STUDENT EEICT 2019en
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.subjectHandwriting difficultiesen
dc.subjectgraphical user interfaceen
dc.subjectpythonen
dc.subjectonline handwritingen
dc.titleSemi-Automatic Segmentation Of On-Line Handwritingen
dc.type.driverconferenceObjecten
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.departmentFakulta elektrotechniky a komunikačních technologiícs
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