Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2006 · 12 citations · 2 references
Open access
EngineeringComputer ScienceNeuroscienceAssistive TechnologyNeural EngineeringRoboticsAssistive Mobility DevicesAssistive Technology For MobilityBrain-computer InterfacesCognitive Assistive TechnologyHuman-machine InteractionNeural InterfacesBrain-computer Interface RehabilitationRobot DriversRobotic WheelchairsSubjectsWheelchair Performance TestingWheelchair RoboticsWheelchair Technology
SUMMARY: This poster presents results obtained from experiments of driving a brain-actuated simulated wheelchair that incorporates the shared-control intelligence method. The simulated wheelchair is controlled offline using band power features. The task is to drive the wheelchair along a corridor avoiding two obstacles. We have analyzed data from 4 naïve subjects during 25 sessions carried out in two days. To measure the performance of the brain-actuated wheelchair we have compared the final position of the wheelchair with the end point of the desired trajectory. The experiments show that the incorporation of a higher intelligence level in the control device significantly helps the subject to drive the robot device. trained with data from 5 consecutive sessions and tested over the next 5 consecutive sessions. To measure the performance of the brain-actuated wheelchair we have compared the final position of the wheelchair with the end point of the desired trajectory.
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