An EOG/EEG-Based Hybrid Brain-Computer Interface for Chess
- Resource Type
- Conference
- Authors
- Choi, Jin Woo; Rho, Eojin; Huh, Sejoon; Jo, Sungho
- Source
- 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) SMC Systems, Man, and Cybernetics (SMC), 2018 IEEE International Conference on. :129-134 Oct, 2018
- Subject
- Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Electrooculography
Electroencephalography
Games
Training
Brain modeling
Electrodes
Signal processing
electrooculography (EOG)
electroencephalography (EEG)
brain-computer interface (BCI)
machine learning
supervised learning
evoked potential
- Language
- ISSN
- 2577-1655
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.