Abstract

In the case of paralysis with visual and auditory impairments, brain-computer interface (BCI) based on tactile stimulus paradigms are alternative methods for controlling external devices. This study demonstrates using a BCI system via steady-state tactile stimulation for assistive technology and rehabilitation. We designed a steady-state tactile stimulator using a vibrotactile motor with two fundamental and mixing vibration frequency patterns. The vibrotactile stimulators were attached to the wrist. We recorded EEG signals and observed a response. We also verified the classification algorithm. The results revealed that the average classification accuracy ranged from 73.33-81.67%. We further implement in a real-time BCI for control and rehabilitation applications.