Name
Title | ||
|---|---|---|
A Comprehensive Channel and Feature Selection Method for Myoelectric Pattern Recognition |
Abstract | ||
|---|---|---|
The advent of myoelectric control schemes provides promising chances for locomotion empowerment and restoration of those with disabilities. Despite substantial efforts have been made into advancing sEMG-based motion recognition, it may be a little tricky to determine appropriate muscles and features for people with muscle disorders or different muscle use preferences. To mitigate it, an advantageo... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/HEALTHCOM49281.2021.9398981 | 2020 IEEE International Conference on E-health Networking, Application & Services (HEALTHCOM) |
Keywords | DocType | ISBN |
Legged locomotion,Databases,Muscles,Feature extraction,Classification algorithms,Task analysis,Tuning | Conference | 978-1-7281-6267-6 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mengyao Li | 1 | 0 | 0.68 |
| Yue Ma | 2 | 0 | 0.34 |
| Liangsheng Zheng | 3 | 0 | 0.34 |
| Can Wang | 4 | 3 | 2.80 |
| Wei Feng | 5 | 0 | 0.34 |
| Xinyu Wu | 6 | 0 | 0.34 |