Feasibility of approaches combining sensor and source features in brain-computer interface

► We proposed combined approaches between sensor and source features in brain-computer interface. ► Combining approach of sensor and source features improved about 3.8% in classification accuracy than sensor features alone. ► Source features were supplementary to sensor features. ► Amount of invisible information in sensor space was significant in the low performance datasets.