Abstract
Despite the benefice of electric wheelchairs, some types of motor disabilities are incapable to use them. Indeed, According to experiments conducted with people with severe disabilities, the use of electric wheelchairs requires a greater customization. As a consequence, some researchers replace the joystick by alternative control such as EEG signals, eye or head tracking. In this paper, the goal is to control an EPW using an hybrid and self configured fusion technique between EEG signals, head movement and eye tracking. As the proposed system targets are persons with severe motor handicap, voice recognition was used to activate and deactivate the control system.
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