Özet
This study aims to spread the use of humanoid robots in teaching sign language to hearing impaired people. To track the sign language gestures, Microsoft Kinect that has a ability to record the structure of the human skeletal joints position information is used. To implement and learn sign language gestures on humanoid robot from human motion data, the probabilistic and mathematical-based machine learning algorithms are studied.
| Tercüme edilen katkı başlığı | Learning by imitation and implementation of sign language gestures by a humanoid robot |
|---|---|
| Orijinal dil | Türkçe |
| Ana bilgisayar yayını başlığı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 1993-1996 |
| Sayfa sayısı | 4 |
| ISBN (Elektronik) | 9781467373869 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - 19 Haz 2015 |
| Etkinlik | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey Süre: 16 May 2015 → 19 May 2015 |
Yayın serisi
| Adı | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings |
|---|
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| ???event.eventtypes.event.conference??? | 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 |
|---|---|
| Ülke/Bölge | Turkey |
| Şehir | Malatya |
| Periyot | 16/05/15 → 19/05/15 |
Bibliyografik not
Publisher Copyright:© 2015 IEEE.
Keywords
- Human-robot interaction
- Humanoid robots
- Learning by imitation
- Sign language
Parmak izi
Işaret Dili Hareketlerinin Bir Insansi Robot Tarafindan Taklit Yoluyla Öʇrenilmesi ve Gerçeklenmesi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.Alıntı Yap
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