Abstract | ||
---|---|---|
In assisted wheelchair navigation it is important to optimize help: an excess may lead to loss of residual skills, whereas a lack may lead to failure in completing a trajectory. Help needed depends on diagnosis, condition, task and environment. This dissertation presents a new approach to personalize assistance through learning. It has been successfully tested and validated at a rehabilitation hospital. |
Year | DOI | Venue |
---|---|---|
2011 | 10.3233/AIC-2011-0500 | AI Commun. |
Keywords | Field | DocType |
adaptive assistance,wheelchair control,wheelchair navigation,residual skill,rehabilitation hospital,bare necessity,new approach | Wheelchair,Residual,Rehabilitation hospital,Simulation,Computer science,Artificial intelligence,Robot,Trajectory | Journal |
Volume | Issue | ISSN |
24 | 4 | 0921-7126 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
C. Urdiales | 1 | 251 | 33.14 |