Gesture Recognition using SAX Method

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dc.contributor.authorKurnaz, Ismail
dc.contributor.authorDurgut, Rafet
dc.date.accessioned2024-09-29T16:11:21Z
dc.date.available2024-09-29T16:11:21Z
dc.date.issued2016
dc.departmentKarabük Üniversitesien_US
dc.description24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEYen_US
dc.description.abstractIn this study, an application is developed to recognize human gestures using data which was recorded by using Microsoft Kinect. The data set used in the study is MSRC-12, and it is created by Microsoft. It has several daily human gestures which were recorded from different users. Before gesture recognition process, recorded data was reduced by PAA method and then it was classified by SAX method. Symbols (which are generated by SAX) of percentage similarity is calculated by developed algorithm. The application can recognize all human gestures in dataset correctly.en_US
dc.description.sponsorshipIEEE,Bulent Ecevit Univ, Dept Elect & Elect Engn,Bulent Ecevit Univ, Dept Biomed Engn,Bulent Ecevit Univ, Dept Comp Engnen_US
dc.identifier.endpage676en_US
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.startpage673en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8377
dc.identifier.wosWOS:000391250900146en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 24th Signal Processing and Communication Application Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMicrosoft Kinecten_US
dc.subjectSAXen_US
dc.subjectgesture recognitionen_US
dc.subjectPAAen_US
dc.titleGesture Recognition using SAX Methoden_US
dc.typeConference Objecten_US

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