Carlson, TomMillán, José del R.2012-10-092012-10-092012-10-09201310.1109/MRA.2012.2229936https://infoscience.epfl.ch/handle/20.500.14299/86029Independent mobility is core to being able to perform activities of daily living by oneself. However, powered wheelchairs are not an option for a large number of people who are unable to use conventional interfaces, due to severe motor–disabilities. Non-invasive brain–computer interfaces (BCIs) offer a promising solution to this interaction problem and in this article we present a shared control architecture that couples the intelligence and desires of the user with the precision of a powered wheelchair. We show how four healthy subjects are able to master control of the wheelchair using an asynchronous motor–imagery based BCI protocol and how this results in a higher overall task performance, compared with alternative synchronous P300–based approaches.Brain Computer InterfaceWheelchairRoboticstext::journal::journal article::research article