Asynchronous non-invasive brain-actuated control of an intelligent wheelchair.
In this paper we present further results of our asynchronous and non-invasive BMI for the continuous control of an intelligent wheelchair. Three subjects participated in two experiments where they steered the wheelchair spontaneously, without any external cue. To do so the users learn to voluntary modulate EEG oscillatory rhythms by executing three mental tasks (i.e., mental imagery) that are associated to different steering commands. Importantly, we implement shared control techniques between the BMI and the intelligent wheelchair to assist the subject in the driving task. The results show that the three subjects could achieve a significant level of mental control, even if far from optimal, to drive an intelligent wheelchair.
Del R Millan
J J
JJ
Ecole Polytechnique Fe de rale de Lausanne (EPFL), Switzerland. jose.millan@epfl.ch
Galan
F
F
Vanhooydonck
D
D
Lew
E
E
Philips
J
J
Nuttin
M
M
D000465:Algorithms; D001921:Brain / Q000473:pathology*; D004569:Electroencephalography / Q000379:methods*; D004867:Equipment Design; D006801:Humans; D008328:Man-Machine Systems; D016571:Neural Networks, Computer; D009991:Oscillometry / Q000379:methods; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012371:Robotics; D013686:Telemetry; D014584:User-Computer Interface; D014910:Wheelchairs