Kapsül Aglari ile Isaret Dili Tanima

Fuat Beser, Merve Ayyuce Kizrak, Bulent Bolat, Tulay Yildirim

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

29 Atıf (Scopus)

Özet

Hearing 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.

Tercüme edilen katkı başlığıRecognition of sign language using capsule networks
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar1-4
Sayfa sayısı4
ISBN (Elektronik)9781538615010
DOI'lar
Yayın durumuYayınlandı - 5 Tem 2018
Harici olarak yayınlandıEvet
Etkinlik26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey
Süre: 2 May 20185 May 2018

Yayın serisi

Adı26th IEEE Signal Processing and Communications Applications Conference, SIU 2018

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???event.eventtypes.event.conference???26th IEEE Signal Processing and Communications Applications Conference, SIU 2018
Ülke/BölgeTurkey
ŞehirIzmir
Periyot2/05/185/05/18

Bibliyografik not

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Capsule networks
  • Convolutional neural networks
  • Deep learning
  • Deep neural networks
  • Sign language
  • Sign language recognition

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