Özet
The aim of this project is to establish the communication between the hearing impaired people and non-sign-language-speaking people easier and to raise the awareness of the community about hearing impaired people. In this study, a subset of selected primitive hand shapes of Turkish Sign Language are recognized by a system based on Leap Motion device. The system was tested with selected participants with both right and left hands, then the recognized data is also tested offline with Random Forest and Multi Layer Perceptron methods, and the results were compared. The proposed system requires less data than the machine learning methods, and its success rate is higher.
| Tercüme edilen katkı başlığı | Turkish Sign Language recognition with Leap Motion |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 589-592 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781509016792 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 20 Haz 2016 |
| Etkinlik | 24th Signal Processing and Communication Application Conference, SIU 2016 - Zonguldak, Türkiye Süre: 16 May 2016 → 19 May 2016 |
Yayın serisi
| Adı | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings |
|---|
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| ???event.eventtypes.event.conference??? | 24th Signal Processing and Communication Application Conference, SIU 2016 |
|---|---|
| Ülke/Bölge | Türkiye |
| Şehir | Zonguldak |
| Periyot | 16/05/16 → 19/05/16 |
Bibliyografik not
Publisher Copyright:© 2016 IEEE.
Keywords
- Leap Motion
- Sign Language
- Sign Recognition
Parmak izi
Leap Motion ile Türk Işaret Dili Tanima' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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