Background The motor imagery (MI) paradigm is widely used in active brain-computer interfaces (BCIs), but its effectiveness is hindered by accuracy limitations and individual variability. Tactile stimulation has been proposed as a potential method to enhance MI performance; however, integrating such stimulation in real-time MI tasks remains challenging due to the spontaneous nature of MI.
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