Implementation ofadvanced detection intentional control for event related potential technique using spelling BCI Interface
Publication Date : 30/01/2018
Conference Name :
A brain-computer interface (BCI) is a tool to communicate with a computer via brain signals without the user making any physical movements, thus enabling disabled people to communicate with their environment and with others. P300-based ERP spellers are a widely used spellingvisualBCIusingtheP300componentofevent-relatedpotential(ERP).However,theyhave a technical problem in that at least √2N flashes are required to present N characters. This prevents the improvement of accuracy and restricts the typing speed. To address this issue, we propose a method that uses N100 in addition to P300. We utilize novel stimulus images to detect the user’s gazing position by using N100. By using both P300 and N100, the proposed visual BCI reduces the number of flashes and improves the accuracy of the P300 speller. We also propose using N100 to classify non-control (NC) and intentional control (IC) states. In our experiments, the detection accuracy of N100 was significantly higher than that of P300 and the proposed method exhibited a higherinformationtransferrate(ITR)thantheP300speller.