Abstract
In recent decades, brain-computer interfaces (BCIs) have been an active area of study. BCI is a technology designed to predict the user’s intention by analyzing brain signals and to control a computer according to that predicted intention. Using BCI technology, patients with limb paralysis can perform various actions such as moving, expressing thoughts, drinking water, and so on. Moreover, the technology is also useful for healthy subjects because it allows them to control various electrical devices without physical movements. In this paper, the representative principles of BCIs are summarized, including slow cortical potentials, sensorimotor rhythms, P300, steady-state visually evoked potential, and directional tuning. Moreover, novel BCI studies are introduced. The convergence of these BCI methods will enable the development of BCIs that can be used in real life.
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