An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess

Most user interfaces require motion; the motor-impaired therefore do not have many options to choose from. Electroencephalography (EEG) and the analysis of eye movement are two of the commonly proposed methods for enhancing the user experiences of the motor-impaired. In this paper, we propose an electrooculography (EOG)/EEG-based hybrid BCI that combines the strengths of EOG and EEG by using them simultaneously. We have shown the effectiveness of EOG/EEG-based hybrid BCIs by implementing the proposed interface and applying it to a chess game. Through this paper, we hope to provide improved interface systems for patients who have physical disabilities.