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 başlığı | Recognition of sign language using capsule networks |
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Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 1-4 |
Sayfa sayısı | 4 |
ISBN (Elektronik) | 9781538615010 |
DOI'lar | |
Yayın durumu | Yayınlandı - 5 Tem 2018 |
Harici olarak yayınlandı | Evet |
Etkinlik | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Süre: 2 May 2018 → 5 May 2018 |
Yayın serisi
Adı | 26th 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 |
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Ülke/Bölge | Turkey |
Şehir | Izmir |
Periyot | 2/05/18 → 5/05/18 |
Bibliyografik not
Publisher Copyright:© 2018 IEEE.
Keywords
- Capsule networks
- Convolutional neural networks
- Deep learning
- Deep neural networks
- Sign language
- Sign language recognition