CLASSIFICATION OF AGRESSIVE ACTION EMG SIGNALS BY AR BASED K-NN METHOD

dc.contributor.authorAcar, Emrullah
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:44:56Z
dc.date.available2024-04-24T17:44:56Z
dc.date.issued2014
dc.departmentDicle Üniversitesien_US
dc.description22nd IEEE Signal Processing and Communications Applications Conference (SIU) -- APR 23-25, 2014 -- Karadeniz Teknik Univ, Trabzon, TURKEYen_US
dc.description.abstractThe fields of EMG signal processing technology has been effective in the application of prosthetic control and clinical medicine or sport science. The main purpose of this study is to classify two aggressive action EMG signals which are taken from different people, according to their texture feature vectors. The physical action EMG set is derived from UCI database. The power spectral density (PSD) estimation of EMG signals is calculated by using AR Burg Method. The texture feature vectors of EMG signals are extracted by applying statistical methods to PSD maps of each signal PSD based feature vectors are given to different type of k-NN classifier as inputs and the performance results of each system are compared. Finally, the best average performance is observed as 97.92 % in k=7, 9 and 10 neighbors structure of k-NN classifier.en_US
dc.description.sponsorshipIEEE,Karadeniz Tech Univ, Dept Comp Engn & Elect & Elect Engnen_US
dc.identifier.endpage251en_US
dc.identifier.isbn978-1-4799-4874-1
dc.identifier.issn2165-0608
dc.identifier.startpage248en_US
dc.identifier.urihttps://hdl.handle.net/11468/22350
dc.identifier.wosWOS:000356351400042
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword]en_US
dc.titleCLASSIFICATION OF AGRESSIVE ACTION EMG SIGNALS BY AR BASED K-NN METHODen_US
dc.titleCLASSIFICATION OF AGRESSIVE ACTION EMG SIGNALS BY AR BASED K-NN METHOD
dc.typeConference Objecten_US

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