Name
Title | ||
|---|---|---|
A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface |
Abstract | ||
|---|---|---|
•We decompose sEMG image into multiple streams by the electrodes layout to model correlation between muscles and gestures.•A two-stage multi-stream CNN framework is proposed for sEMG based gesture recognition in muscle computer interface.•Comprehensive evaluations on 3 benchmark datasets shows that it outperformed the single-stream CNN for gesture recognition. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patrec.2017.12.005 | Pattern Recognition Letters |
Keywords | Field | DocType |
Surface electromyography,Muscle-computer interface,Gesture recognition,Deep learning,Convolutional neural network | Pattern recognition,Convolutional neural network,Gesture,Gesture recognition,Artificial intelligence,Deep learning,Fuse (electrical),Mathematics,Interface (computing) | Journal |
Volume | ISSN | Citations |
119 | 0167-8655 | 6 |
PageRank | References | Authors |
0.51 | 33 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wentao Wei | 1 | 34 | 2.36 |
| Yongkang Wong | 2 | 377 | 29.30 |
| Yu Du | 3 | 65 | 10.11 |
| Yu Hu | 4 | 537 | 76.69 |
| Mohan Kankanhalli | 5 | 3825 | 299.56 |
| Weidong Geng | 6 | 162 | 21.81 |