Name
Abstract | ||
|---|---|---|
This article presents a study about a mobility aid system, which integrates adaptive control interface for a robotic walker. The objective is to give to the patient more flexibility in the choice of a technical aid. The specificity of our system is based on an auto-adaptive interface, which improves the configuration choice of the patient's driving commands. The results obtained from experimentations show the capabilities of our method for a technical aid. The learning process is applied on line to a neural network controller. The experiment is focused on sensors configuration and command of a powered walker interface. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ROBOT.2003.1241805 | Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference |
Keywords | Field | DocType |
adaptive control,handicapped aids,learning systems,legged locomotion,neurocontrollers,patient care,sensors,user interfaces,adaptive control interface,auto-adaptive interface,handicaps,learning process,locomotion aid interface,mobile robots,mobility aid system,neural network controller,patients driving command,powered walker interface,robotic walker,sensor configuration,technical aids,user learning | Mobility aid,Control engineering,Patient care,Engineering,Adaptive control,Neural network controller,Artificial neural network,User interface | Conference |
Volume | Issue | ISSN |
1 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
0-7803-7736-2 | 1 | 0.39 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roland Thieffry | 1 | 1 | 0.39 |
| Eric Monacelli | 2 | 97 | 13.94 |
| Patrick Henaff | 3 | 77 | 11.33 |
| Stephane Delaplace | 4 | 1 | 0.39 |