Name
Abstract | ||
|---|---|---|
For people with very severe motor dysfunctions, Brain-Computer Interfaces (BCIs) may provide the solution to regain mobility and manipulation capabilities. Unfortunately, BCIs are characterized by a limited bandwidth and uncertainty on the BCI output. In the past, we have developed a Bayesian plan recognition framework that estimates from uncertain human-robot interface signals the task a robot should execute. This paper extends our plan recognition framework to incorporate uncertain BCI signals. A benchmark test is proposed and adopted to evaluate both the plan recognition framework and the performance of the BCI user, for the concrete application of wheelchair driving. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ROBOT.2009.5152653 | ICRA |
Keywords | Field | DocType |
benchmark test,brain-computer interface,brain-computer interfaces,uncertain bci signal,plan recognition framework,bci user,bci output,concrete application,uncertain human-robot interface,bayesian plan recognition framework,limited bandwidth,robot control,brain computer interfaces,mobile robots,human robot interface,bayesian methods,benchmark testing,brain computer interface,navigation,concrete,control systems | Wheelchair,Brain–computer interface,Bandwidth (signal processing),Artificial intelligence,Plan recognition,Engineering,Robot,Mobile robot,Benchmark (computing),Bayesian probability | Conference |
Volume | Issue | ISSN |
2009 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
978-1-4244-2789-5 | 2 | 0.49 |
References | Authors | |
9 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Demeester | 1 | 135 | 17.57 |
| Alexander Hüntemann | 2 | 76 | 9.60 |
| José del R. Millán | 3 | 1224 | 136.04 |
| Hendrik Van Brussel | 4 | 539 | 67.67 |
| del R.Millan, J. | 5 | 2 | 0.49 |
| Van Brussel, H. | 6 | 139 | 19.47 |