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Issue No.02 - March/April (2007 vol.22)
pp: 18-24
Etienne Burdet , Imperial College London
Cuntai Guan , Institute for Infocomm Research
Haihong Zhang , Institute for Infocomm Research
Chee Leong Teo , National University of Singapore
Qiang Zeng , National University of Singapore
Christian Laugier , INRIA Rhone-Alpes
Marcelo H. Ang Jr. , National University of Singapore
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.
INDEX TERMS
brain-machine interface, wheelchair
CITATION
Etienne Burdet, Cuntai Guan, Haihong Zhang, Chee Leong Teo, Qiang Zeng, Christian Laugier, Marcelo H. Ang Jr., "Controlling a Wheelchair Indoors Using Thought", IEEE Intelligent Systems, vol.22, no. 2, pp. 18-24, March/April 2007, doi:10.1109/MIS.2007.26
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