Comparison of ELM and ANN on EMG Signals Obtained for Control of Robotic-Hand

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dc.contributor.authorKayabasi, Ahmet
dc.contributor.authorYildiz, Berat
dc.contributor.authorAslan, M. Fatih
dc.contributor.authorDurdu, Akif
dc.date.accessioned2020-03-26T19:53:10Z
dc.date.available2020-03-26T19:53:10Z
dc.date.issued2018
dc.departmentSelçuk Üniversitesien_US
dc.description10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) -- JUN 28-30, 2018 -- Iasi, ROMANIAen_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.isbn978-1-5386-4901-5
dc.identifier.issn2378-7147en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/36425
dc.identifier.wosWOS:000467734100143en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofPROCEEDINGS OF THE 2018 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS, COMPUTERS AND ARTIFICIAL INTELLIGENCE (ECAI)en_US
dc.relation.ispartofseriesInternational Conference on Electronics Computers and Artificial Intelligence
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_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 Objecten_US

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