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Motor imagery-based brain-computer interface (MI-BCI) has gradually become a new rehabilitation method for motor function injury patients to improve or recover the lost motor function. However, it is difficult for subjects to concentrate for a long time in the practical application of MI-BCI, which has become one of the factors limiting the development of MI-BCI. In this paper, the electroencephalography (EEG) and electrooculography (EOG) signal were collected simultaneously while the subject doing the motor imagery task of playing badminton. An attention level discrimination method was proposed based on EOG signal and the average accuracy of motor intention recognition exceeded 85%. It is found that there is a significant correlation between the attention level and the accuracy of motion intention recognition. The application of attention level discrimination method can evaluate the subjects' attention in motor …