Name
Abstract | ||
|---|---|---|
The idea of controlling objects or machines through thought is moving from science fiction to reality. This article presents the first working prototype of a brain-controlled wheelchair that can navigate in a typical office or hospital environment. The wheelchair is based on a slow but safe brain-controlled interface using the P300 signal detected from electroencephalography. The authors adapted the system's control strategy to the interface's measured performance. To circumvent the problem caused by the interface's low information rate, a motion guidance strategy provides safe, efficient control without complex sensors or sensor processing. Experiments demonstrated that healthy subjects can safely control the wheelchair in an office-like environment without training.This article is part of a special issue on Interacting with Autonomy. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/MIS.2007.26 | IEEE Intelligent Systems |
Keywords | Field | DocType |
healthy subject,office-like environment,complex sensor,p300 signal,efficient control,hospital environment,motion guidance strategy,safe brain-controlled interface,control strategy,brain-controlled wheelchair,electroencephalography,brain computer interface,brain machine interface | USable,Wheelchair,Gaze,Computer science,Simulation,Brain–computer interface,Control system,Joystick | Journal |
Volume | Issue | ISSN |
22 | 2 | 1541-1672 |
Citations | PageRank | References |
65 | 6.80 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brice Rebsamen | 1 | 97 | 11.99 |
| Etienne Burdet | 2 | 695 | 93.50 |
| Cuntai Guan | 3 | 1298 | 124.69 |
| Haihong Zhang | 4 | 687 | 57.92 |
| Chee Leong Teo | 5 | 159 | 23.42 |
| Qiang Zeng | 6 | 126 | 12.91 |
| Christian Laugier | 7 | 201 | 19.36 |
| Marcelo H. Ang | 8 | 775 | 98.60 |