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In this paper, a human–machine shared control strategy is proposed for the navigation control of a wheelchair, employing both brain–machine control mode and autonomous control mode. In the brain–machine control mode, contrary to the traditional four-direction control signals, a novel brain–machine interface using steady-state visual evoked potentials is presented, which utilizes two brain signals...
This paper presents a new shared-control approach for brain-actuated intelligent wheelchair by means of a noninvasive Brain-computer Interface (BCI). The problem caused by the sparse and unsteady feature of BCI command, a two-layer shared-control strategy is proposed to steer the intelligent wheelchair. The first one is a machine decision layer which responsible for enabling/disabling the BCI command...
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