Abstract
Hybrid brain computer interfaces (hBCIs) have emerged as a possible path to integrated brain-computer interaction in current history. hBCI, is a device formed by the amalgamation of control signal and bio-signal combination of control signal with one or more bio-signals that enhances system performance and usability. Assistive technology, spelling, and gaming are some of the primary areas where hBCI can be used. Among these, hBCI spellers are the popular application that has opened up a slew of new possibilities of communication for paralyzed individuals. The goal of this review is to provide prospect on current state of hBCI spellers covering types of hBCI, signal processing methods and evaluation with emphasis on feature extraction techniques and classification methods used by these studies. The authors anticipate that this analysis will serve as a foundation for ongoing studies on hBCI spellers.
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