Name
Abstract | ||
|---|---|---|
Exoskeleton system which is to assist the motion of physically weak persons such as disabled, injured and elderly persons is discussed in this paper. The proposed exoskeletons are controlled basically based on the electromoyogram (EMG) signals. And a mind model is constructed to identify person's mind for predicting or estimating person's behavior. The proposed mind model is installed in an exoskeleton power assistive system named IAE for walking aid. The neural-network is also be used in this system to help learning. The on-line learning adjustment algorithm based on multi-sensor that are fixed on the robot is designed which makes the locomotion stable and adaptable. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11893295_77 | ICONIP (3) |
Keywords | Field | DocType |
physical exoskeleton,proposed mind model,neural-network inverse dynamic online,mind model,on-line learning adjustment algorithm,elderly person,proposed exoskeletons,exoskeleton system,exoskeleton power assistive system,weak person,inverse dynamics,neural network | Online learning,User assistance,Computer science,Exoskeleton,Artificial intelligence,Robot,Artificial neural network,Robotics | Conference |
Volume | ISSN | ISBN |
4234 | 0302-9743 | 3-540-46484-0 |
Citations | PageRank | References |
2 | 0.41 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Heng Cao | 1 | 7 | 2.07 |
| Yuhai Yin | 2 | 2 | 0.74 |
| Ding Du | 3 | 2 | 0.41 |
| Lizong Lin | 4 | 2 | 0.41 |
| Wenjin Gu | 5 | 13 | 5.63 |
| Zhiyong Yang | 6 | 2 | 0.41 |