Yayın:
An Application for Hearing Impaired that Understands Signal Language from Hand Gestures

Basit Görünüm
dc.contributor.authorDoğan, M.
dc.contributor.authorUysal, B.
dc.contributor.authorKırcı, P.
dc.contributor.buuauthorKIRCI, PINAR
dc.contributor.buuauthorDoğan, Muhammed
dc.contributor.buuauthorUysal, Berker
dc.contributor.departmentFen Edebiyat Fakültesi
dc.contributor.departmentMatematik Ana Bilim Dalı
dc.contributor.scopusid58266297600
dc.contributor.scopusid58266458800
dc.contributor.scopusid15026635000
dc.date.accessioned2025-08-06T22:41:05Z
dc.date.issued2023-01-01
dc.description.abstractToday, computers, which are used in all areas of life and have become an inseparable part of our lives, contribute to human life by using advanced object recognition and image processing technologies. It is actively used in various fields such as medicine, military, security, traffic, industry, agriculture, astronomy, retail, environmental safety, geodesy and photogrammetry and provides great benefits. Based on all these, the recognition of sign language by computers and its translation into voice and writing will facilitate the work of individuals with disabilities and those who do not know sign language in daily life. In this study, it is aimed to recognize sign language letters by using image processing technologies and to convert them into sound and text at the same time.
dc.description.sponsorshipInstitut Galilee of Universite Paris 13
dc.description.sponsorshipLviv Polytechnic National University
dc.description.sponsorshipNational Technical University "Kharkiv Polytechnic Institute"
dc.description.sponsorshipPolitechnika Slaska
dc.description.sponsorshipUkrainian Scientific and Educational IT Society
dc.identifier.endpage 211
dc.identifier.issn1613-0073
dc.identifier.scopus2-s2.0-85159775653
dc.identifier.startpage202
dc.identifier.urihttps://hdl.handle.net/11452/53369
dc.identifier.volume3387
dc.indexed.scopusScopus
dc.language.isoen
dc.publisherCEUR-WS
dc.relation.journalCeur Workshop Proceedings
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectSign language
dc.subjectObject recognition
dc.subjectMachine learning
dc.subjectImage processing
dc.subject.scopusInnovative Approaches in Sign Language Recognition
dc.titleAn Application for Hearing Impaired that Understands Signal Language from Hand Gestures
dc.typeconferenceObject
dc.type.subtypeConference Paper
dspace.entity.typePublication
local.contributor.departmentFen Edebiyat Fakültesi/ Matematik Ana Bilim Dalı
local.indexed.atScopus
relation.isAuthorOfPublication0270c3e7-f379-4f0e-84dd-a83c2bbf0235
relation.isAuthorOfPublication.latestForDiscovery0270c3e7-f379-4f0e-84dd-a83c2bbf0235

Dosyalar

Koleksiyonlar

İndeksli Yayınlar / Indexed Publications