Name
Abstract | ||
|---|---|---|
Estimation of joint kinematics plays an important role in intuitive human-machine interactions. However, continuous and reliable estimation of small (e.g., the finger) joint angles is still a challenge. The objective of this study was to continuously estimate finger joint angles using populational motoneuron firing activities. Multi-channel surface electromyogram (sEMG) signals were obtained from ... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JBHI.2019.2926307 | IEEE Journal of Biomedical and Health Informatics |
Keywords | Field | DocType |
Electromyography,Muscles,Discharges (electric),Electrodes,Estimation,Indexes,Fingers | Computer vision,Finger joint,Pattern recognition,Computer science,Artificial intelligence | Journal |
Volume | Issue | ISSN |
24 | 3 | 2168-2194 |
Citations | PageRank | References |
1 | 0.37 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenyun Dai | 1 | 8 | 7.61 |
| Xiaogang Hu | 2 | 6 | 6.99 |