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 |
|---|---|
| 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, Türkiye Süre: 2 May 2018 → 5 May 2018 |
Yayın serisi
| Adı | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
|---|
???event.eventtypes.event.conference???
| ???event.eventtypes.event.conference??? | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
|---|---|
| Ülke/Bölge | Türkiye |
| 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
Parmak izi
Kapsül Aglari ile Isaret Dili Tanima' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver