Saldırgan hareketlerine ilişkin EMG işaretlerinin AR tabanlı k-NN ile sınıflandırılması

Basit Öğe Kaydı
dc.contributor.authorAcar, Emrullah
dc.contributor.authorÖzerdem, Mehmet Siraç
dc.date.accessioned2024-04-24T17:56:27Z
dc.date.available2024-04-24T17:56:27Z
dc.date.issued2014
dc.departmentDicle Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümüen_US
dc.description2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon-- 106053en_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.identifier.citationAcar, E. ve Özerdem, M. S. (2014). Saldırgan hareketlerine ilişkin EMG işaretlerinin AR tabanlı k-NN ile sınıflandırılması. 2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings, 248-251.
dc.identifier.doi10.1109/SIU.2014.6830212
dc.identifier.endpage251en_US
dc.identifier.isbn9781479948741
dc.identifier.scopus2-s2.0-84903776914
dc.identifier.scopusqualityN/A
dc.identifier.startpage248en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2014.6830212
dc.identifier.urihttps://hdl.handle.net/11468/23523
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleSaldırgan hareketlerine ilişkin EMG işaretlerinin AR tabanlı k-NN ile sınıflandırılmasıen_US
dc.titleSaldırgan hareketlerine ilişkin EMG işaretlerinin AR tabanlı k-NN ile sınıflandırılması
dc.title.alternativeClassification of agressive action EMG signals by AR based k-NN methoden_US
dc.title.alternativeClassification of agressive action EMG signals by AR based k-NN method
dc.typeConference Objecten_US

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
Classification of agressive action EMG signals by AR based k-NN method.pdf
Boyut:
742.41 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Konferans Öğesi
İndir

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu