Name
Abstract | ||
|---|---|---|
•An American Sign Language recognition model was developed using Leap Motion.•LSTM-RNN with kNN method was proposed for recognition 26 alphabets.•3D motion of hand gesture and relevant 30 features were extracted.•26 alphabets with recognition rate of 99.44% accuracy was obtained. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2020.114403 | Expert Systems with Applications |
Keywords | DocType | Volume |
American sign language,Leap motion controller,Learning application,Sign recognition system | Journal | 167 |
ISSN | Citations | PageRank |
0957-4174 | 1 | 0.37 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carman K. M. Lee | 1 | 25 | 5.85 |
| Kam K.H. Ng | 2 | 2 | 2.08 |
| Chun-Hsien Chen | 3 | 472 | 64.61 |
| Henry C. W. Lau | 4 | 301 | 33.27 |
| S.Y. Chung | 5 | 1 | 0.37 |
| Tiffany Tsoi | 6 | 1 | 0.37 |