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dc.contributor.authorTüfekci, Pınar
dc.contributor.authorGüngör, Halil İbrahim
dc.contributor.authorYılmaz, Alican
dc.date.accessioned2022-05-11T14:15:54Z
dc.date.available2022-05-11T14:15:54Z
dc.date.issued2018
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.11776/6115
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.description.abstractA physical test called the 9-Hole Peg Test (9HPT) is being used to measure progress in neurological disease, physiotherapy and rehabilitation treatment processes. During the application of this test, possible physical errors, which may be caused by the patient or the specialist, can affect the measurement results. In this study, an application was developed to bring the 9-HPT physical test to the virtual reality environment in order to minimize the most possible errors. For the user to be included in the 9-HPT environment created in the virtual environment, the Leap Motion touchless sensor was used, which enabled the user to interact with the virtual environment and easily perform this test in the virtual environment. With the developed application, it is ensured that the patients can measure their measurements easily by themselves when necessary with minimum losses.en_US
dc.description.sponsorshipIEEE, Huawei, Aselsan, NETAS, IEEE Turkey Sect, IEEE Signal Proc Soc, IEEE Commun Soc, ViSRATEK, Adresgezgini, Rohde & Schwarz, Integrated Syst & Syst Design, Atilim Univ, Havelsan, Izmir Katip Celebi Univen_US
dc.language.isoturen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectvirtual realityen_US
dc.subjectnine hole peg testen_US
dc.subjectleap motionen_US
dc.subjectMultiple-Sclerosisen_US
dc.subjectTelerehabilitation Programen_US
dc.subjectPostural Controlen_US
dc.subjectMotoren_US
dc.subjectGamesen_US
dc.titleVirtual Reality Based 9 Hole Peg Testen_US
dc.title.alternativeSanal Gerçeklik Tabanli 9 Delikli Çivi Testi]en_US
dc.typeproceedingPaperen_US
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (Siu)en_US
dc.departmentFakülteler, Çorlu Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.institutionauthorTüfekci, Pınar
dc.institutionauthorGüngör, Halil İbrahim
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid11539603200
dc.authorscopusid57203165714
dc.authorscopusid57203171922
dc.authorwosidTufekci, Pinar/ABA-5121-2020
dc.identifier.wosWOS:000511448500182en_US
dc.identifier.scopus2-s2.0-85050828400en_US


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