Name
Abstract | ||
|---|---|---|
The goal of this paper is to show EMG based system control applied to motorized orthoses. Through two biometrical sensors it captures biceps and triceps EMG signals, which are then filtered and processed by an acquisition system. Finally an output/control signal is produced and sent to the actuators, which will then perform the proper movement. The research goal is to predict the movement of the lower arm through the analysis of EMG signals, so that the movement can be reproduced by an arm orthosis, powered by two linear actuators. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-40846-5_51 | HYBRID ARTIFICIAL INTELLIGENT SYSTEMS |
Keywords | Field | DocType |
Orthosis, Prosthesis, Control, EMG, Power assistance | Prosthesis,Computer vision,Biceps,Linear actuator,Pattern recognition,Computer science,Artificial intelligence,Control system,Actuator,Signal extraction | Conference |
Volume | ISSN | Citations |
8073 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aaron Suberbiola | 1 | 4 | 0.78 |
| Ekaitz Zulueta | 2 | 56 | 10.97 |
| José Manuel López-Guede | 3 | 50 | 18.06 |
| Ismael Etxeberria | 4 | 17 | 5.83 |
| Bren Van Caesbroeck | 5 | 0 | 0.34 |