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dc.contributor.authorKural, Oguz Emre
dc.contributor.authorKilic, Erdal
dc.date.accessioned2020-06-21T13:27:17Z
dc.date.available2020-06-21T13:27:17Z
dc.date.issued2017
dc.identifier.isbn978-1-5090-6494-6
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12712/12754
dc.description25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEYen_US
dc.descriptionWOS: 000413813100531en_US
dc.description.abstractIn this study, supporting mobile application based on machine learning in which the children can do drawing studies on basic geometric shapes is developed. Some feedback is provided to support the drawing of the children by creating a drawing platform in application. 5-class dataset consisting of straight line, triangle, rectangle, circle and ellipse shapes was created by choosing 6-8 years old children as target group for the study. Drawing data that classified with support vector machines were graded with Hausdorff distance criteria. Feedback messages supporting the drawing phases were generated according to the obtained grades.en_US
dc.description.sponsorshipTurk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univen_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectHand drawing shape recognitionen_US
dc.subjectSupport vector machineen_US
dc.subjectMobile learningen_US
dc.subject(Modified) Hausdorff distanceen_US
dc.titleMachine Learning Based Interactive Drawing Platformen_US
dc.typeconferenceObjecten_US
dc.contributor.departmentOMÜen_US
dc.relation.journal2017 25Th Signal Processing and Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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