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Recognition of Sign Language using Capsule Networks

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dc.contributor.authorBeser, Fuat
dc.contributor.authorKizrak, Merve Ayyuce
dc.contributor.authorBolat, Bulent
dc.contributor.authorYildirim, Tulay
dc.date.accessioned2026-06-27T14:09:50Z
dc.date.issued2018
dc.description.abstractHearing and speech impaired persons continue to communicate with the help of lip reading or hand and face movements also known as a sign language. Ensuring the disabled persons participation in life and increasing their quality of life are achievable through healthy and effective communication with other people. In this work; digits of the sign language were recognized with %94.2 validation accuracy by Capsule Networks.en
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.14981/57419
dc.identifier.wos000511448500238
dc.language.isotur
dc.publisherIEEE
dc.relation.conference26th IEEE Signal Processing and Communications Applications Conference (SIU)
dc.relation.ispartof2018 26TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
dc.subjectdeep learning
dc.subjectdeep neural networks
dc.subjectcapsule networks
dc.subjectconvolutional neural networks
dc.subjectsign language
dc.subjectsign language recognition
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleRecognition of Sign Language using Capsule Networks
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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