A Data Acquisiton System with sEMG Signal and Camera Images for Finger Classification with Machine Learning Algorithms

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dc.authoridMERSINKAYA, ISMAIL/0000-0002-9402-8041
dc.contributor.authorMersinkaya, Ismail
dc.contributor.authorKavsaoglu, Ahmet Resit
dc.date.accessioned2024-09-29T16:09:36Z
dc.date.available2024-09-29T16:09:36Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.description.abstractAdvances in robotics and biomedical engineering have expanded the possibilities of Human-Computer Interaction (HCI) in the last few years. The identification of hand movements is the accurate and real-time signal acquisition of hand movements through the use of image-based systems and surface electromyography sensors. This study uses multithreading to record motion signals from the forearm muscles in conjunction with a surface electromyography (sEMG) sensor and a camera image. The finger movement information labels were tabulated and analyzed along with the simultaneous acquisition of surface electromyography signals and these gestures through the camera. After the acquisition, signal processing techniques were applied to the sEMG signal markered from the camera. Therefore, once the interface is established, data sets suitable for machine learning can be generated.en_US
dc.description.sponsorshipKarabuk University Scientific Research Projects Coordination Unit [KBUBAP-22-DR-127]en_US
dc.description.sponsorshipThis study was supported by the Karabuk University Scientific Research Projects Coordination Unit. Project Number: KBUBAP-22-DR-127.en_US
dc.identifier.doi10.48084/etasr.7040
dc.identifier.endpage13558en_US
dc.identifier.issn2241-4487
dc.identifier.issn1792-8036
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85191998637en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage13554en_US
dc.identifier.urihttps://doi.org/10.48084/etasr.7040
dc.identifier.urihttps://hdl.handle.net/20.500.14619/7664
dc.identifier.volume14en_US
dc.identifier.wosWOS:001198238800078en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherEos Assocen_US
dc.relation.ispartofEngineering Technology & Applied Science Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectKeywords-sEMGen_US
dc.subjectimage processingen_US
dc.subjectreal-time data acquisitionen_US
dc.subjectsignal processingen_US
dc.titleA Data Acquisiton System with sEMG Signal and Camera Images for Finger Classification with Machine Learning Algorithmsen_US
dc.typeArticleen_US

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