000205135 001__ 205135
000205135 005__ 20190812205825.0
000205135 0247_ $$2doi$$a10.1109/ROBOT.2009.5152580
000205135 037__ $$aCONF
000205135 245__ $$aSynchronous EEG Brain-Actuated Wheelchair with Automated Navigation
000205135 269__ $$a2009
000205135 260__ $$c2009
000205135 336__ $$aConference Papers
000205135 520__ $$aThis paper describes a new non-invasive brain-actuated wheelchair that relies on a P300 neurophysiological protocol and automated navigation. In operation, the subject faces a screen with a real-time virtual reconstruction of the scenario, and concentrates on the area of the space to reach. A visual stimulation process elicits the neurological phenomenon and the EEG signal processing detects the target area. This target area represents a location that is given to the autonomous navigation system, which drives the wheelchair to the desired place while avoiding collisions with the obstacles detected by the laser scanner. The accuracy of the brain-computer interface is above 94% and the flexibility of the sensor-based motion system allows for navigation in non-prepared and populated scenarios. The prototype has been validated with five healthy subjects in three experimental sessions: screening (an analysis of three different interfaces and its implications on the performance of the users), virtual environment driving (training and instruction of the users) and driving sessions with the wheelchair (driving tests along pre-established circuits). On the basis of the results, this paper reports a technical evaluation of the device and a variability study. All the users were able to successfully use the device with relative ease showing a great adaptation.
000205135 700__ $$0247943$$g212988$$aIturrate, Inaki
000205135 700__ $$aMontesano, Luis
000205135 700__ $$aMinguez, Javier
000205135 7112_ $$d2009$$cKobe, Japan$$aIEEE International Conference on Robotics and Automation (ICRA)
000205135 773__ $$tProceedings of the IEEE International Conference on Robotics and Automation (ICRA)$$q2318-2325
000205135 8564_ $$zPublisher's version$$yPublisher's version$$uhttps://infoscience.epfl.ch/record/205135/files/Iturrate_ICRA09_Wheelchair.pdf$$s574194
000205135 909C0 $$xU12103$$pCNBI$$0252018
000205135 909CO $$ooai:infoscience.tind.io:205135$$qGLOBAL_SET$$pconf$$pSTI
000205135 917Z8 $$x212988
000205135 917Z8 $$x212988
000205135 917Z8 $$x253578
000205135 937__ $$aEPFL-CONF-205135
000205135 973__ $$rREVIEWED$$sPUBLISHED$$aOTHER
000205135 980__ $$aCONF