| Publication type: |
Article in Proceedings |
| Author: |
C. Mandel, T. Lüth, T. Laue, T. Röfer, A. Gräser, B. Krieg-Brückner |
| Editor: |
Ning Xi, W. R. Hamel |
| Title: |
Navigating a Smart Wheelchair with a Brain-Computer Interface Interpreting Steady-State Visual Evoked Potentials |
| Book / Collection title: |
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems |
| Page(s): |
1118 – 1125 |
| Year published: |
2009 |
| Publisher: |
IEEE |
| Abstract: |
In order to allow severely disabled people who cannot move their arms and legs to steer an automated wheelchair, this work proposes the combination of a non-invasive EEG-based human-robot interface and an autonomous navigation system that safely executes the issued commands. The robust classification of steady-state visual evoked potentials in brain activity allows for the seamless projection of qualitative directional navigation commands onto a frequently updated route graph representation of the environment. The deduced metrical target locations are navigated to by the application of an extended version of the well-established Nearness Diagram Navigation method. The applicability of the system proposed is demonstrated by a real-world pilot study in which nine untrained subjects successfully navigated an automated wheelchair, requiring only some ten minutes of preparation. |
| Status: |
Reviewed |
| Last updated: |
23. 10. 2009 |
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