Name
Abstract | ||
|---|---|---|
This paper describes a computer based system that utilizes a 3D sensor to bridge the communication barrier between hearing (and/or speech) impaired people and hearing ones. The proposed Vietnamese sign language reader successfully recognizes 28 static and 7 dynamic gestures taken from the Vietnam sign language dictionary. To recognize the gestures of a static type, various techniques have been deployed, such as Gabor Filtering, Fisher's Discriminant Analysis and Cosine Metric Distance method. The proposed technique achieves a good result with 93.89% accuracy and speed of 14 frames per second. Recognition of the dynamic gestures is based on the $1 Recognizer algorithm providing quite a good accuracy with 97.14% of accurate recognition with real-time running at 15 frames per second. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/ICARA.2015.7081128 | Automation, Robotics and Applications |
Keywords | Field | DocType |
gabor filters,gesture recognition,handicapped aids,natural languages,sensors,sign language recognition,$1 recognizer algorithm,3d sensor,fisher discriminant analysis,gabor filtering,intel creative senz3d,vietnam sign language dictionary,vietnamese sign language reader,computer based system,cosine metric distance method,dynamic gesture recognition,hearing impaired people,static gesture recognition,$1 recognizer,cosine metric distance,fisher's discriminant analysis,vietnamese sign language,static and dynamic gestures,databases | Computer vision,Gesture,Computer science,Metric (mathematics),Gesture recognition,Filter (signal processing),Speech recognition,Sign language,Artificial intelligence,Frame rate,Linear discriminant analysis,Vietnamese | Conference |
Citations | PageRank | References |
1 | 0.38 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nguyen, V.D. | 1 | 1 | 0.38 |
| Chew Moi Tin | 2 | 25 | 7.14 |
| Serge N. Demidenko | 3 | 84 | 19.38 |