Comparison of ELM and ANN on EMG signals obtained for control of robotic-hand

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dc.authorid0000-0002-9756-8756en_US
dc.authorid0000-0002-5675-6750en_US
dc.authorid0000-0001-7549-0137en_US
dc.contributor.authorKayabaşı, Ahmet
dc.contributor.authorYıldız, Berat
dc.contributor.authorAslan, Muhammet Fatih
dc.contributor.authorDurdu, Akif
dc.date.accessioned2019-12-06T21:15:39Z
dc.date.available2019-12-06T21:15:39Z
dc.date.issued2018
dc.departmentKMÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 28-30, 2018 -- Iasi, ROMANIAen_US
dc.descriptionWOS:000467734100143en_US
dc.description.abstractThe intelligent robotics industry is evolving and humanoid robots can be made, as well as being able to perform the physical functions of people. Robotic hands are vital for many people at this point. In this study, it was aimed to classify the Electromyography (EMG) signals received from the human arm in the correct direction and then to perform robotic hand application. This is very important in understanding and classifying the geometric structure of the object held in robotic hand applications. The classification time and accuracy ratio between ANN and ELM used for this classification were investigated. For this, 11 features were extracted and classifications were tried by using Extreme Learning Machine (ELM) and Artificial Neural Networks (ANN). The obtained successful classification results were compared with each other and applied to a robotic-hand.en_US
dc.description.sponsorshipIEEE Romania Sect, IEEE Ind Applicat Soc, Univ Pitesti, Guvernul Romaniei, Univ Pitesti, Fac Electronica Comunicatii Calculatoareen_US
dc.identifier.citationKayabaşı, A., Yıldız, B., Aslan, M. F., Durdu, A., & 2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI). (June 01, 2018). Comparison of ELM and ANN on EMG signals obtained for control of robotic-hand. 1-5.
dc.identifier.doi10.1109/ECAI.2018.8679074
dc.identifier.isbn978-1-5386-4901-5
dc.identifier.issn2378-7147
dc.identifier.scopus2-s2.0-85064709373
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11492/2672
dc.identifier.urihttps://doi.org/10.1109/ECAI.2018.8679074
dc.identifier.wosWOS:000467734100143
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Sceince
dc.indekslendigikaynakScopus
dc.institutionauthorKayabaşı, Ahmet
dc.institutionauthorYıldız, Berat
dc.institutionauthorAslan, Muhammet Fatih
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.ispartofseriesInternational Conference on Electronics Computers and Artificial Intelligence
dc.relation.journalProceedings Of The 2018 10th International Conference On Electronics, Computers And Artificial Intelligence (ECAI)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComponenten_US
dc.subjectRobotic -Handen_US
dc.subjectArtificial Neural Networks (ANN)en_US
dc.subjectExtreme Learning Machine (ELM)en_US
dc.subjectEMG Signalsen_US
dc.titleComparison of ELM and ANN on EMG signals obtained for control of robotic-handen_US
dc.typeConference Object

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