Optimization of Selecting using Brain Computer Interface in Mixed-reality

Abstract

In recent years, development of BCIs has been very active especially for patients with movement disorders such as ALS. However, current BCI’s require huge equipment, and sometimes users need training to achieve decent accuracy. In previous researches, AR-BCI (Augmented Reality BCI) has been developed to reduce such problems. Though AR-BCI can provide rich information comparing to previous systems, markers for AR and choices need to be prepared in advance. In this study, we developed an intuitive BCI system using Mixed-Reality (MR) and event related potential (ERP). MR-BCI recognize surrounding environment and provide appropriate options for users depending on their situation. In this time, we investigated how visual stimulus from MR system affects event-related potential, the influence of providing options of blind spots, and the influence of the style of virtual markers.