Robot Arm Control with for SSVEP-based brain signals in brain computer interface

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dc.authorscopusid57200138132
dc.authorscopusid15834365300
dc.authorscopusid36195711300
dc.contributor.authorÇi? H.
dc.contributor.authorHanbay D.
dc.contributor.authorTüysüz F.
dc.date.accessioned2024-08-04T20:03:56Z
dc.date.available2024-08-04T20:03:56Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012en_US
dc.description.abstractHilbert Transform (HT) and Multi Wavelet Transform (MWT) has been used to recognize the same frequency harmonics that occur in the brain with the Steady State Visual Evoked Potentials(SSVEP). In this study, harmonics of certain frequencies in brain are used which are detected by SSVEP and visual stimulus potentials to be used in Robot Arm Control. This stimulus has been made using shapes of box that oscillated at certain frequencies. The signal components were clustered according to the same direction and stimulus frequency on the data set for the desired work, task or movement. These signals were processed by the band pass filters at 5-30 Hz then HD process were applied. The filtered signals classified by Neural Network and Cubic-Support Vector Machine after MWT analysis were applied to these. Evaluated average success rate is over 90 %. Finally, the test brain signals recorded for 3 tasks over the trained network have been successfully used for Robot Arm Control. The use of the proposed HD-MWT method is promising for the development of a real-time robot control with SSVEP-based BCI. © 2017 IEEE.en_US
dc.identifier.doi10.1109/IDAP.2017.8090279
dc.identifier.isbn9781538618806
dc.identifier.scopus2-s2.0-85039918029en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/IDAP.2017.8090279
dc.identifier.urihttps://hdl.handle.net/11616/92229
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofIDAP 2017 - International Artificial Intelligence and Data Processing Symposiumen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectClassificationen_US
dc.subjectEEGen_US
dc.subjectHilbert transformen_US
dc.subjectMulti wavelet transformen_US
dc.subjectNeural networken_US
dc.subjectSteady state visually evoked potentialsen_US
dc.titleRobot Arm Control with for SSVEP-based brain signals in brain computer interfaceen_US
dc.title.alternativeSSVEP tabanli beyin bilgisayar arayüzü ile robot kol kontrolüen_US
dc.typeConference Objecten_US

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