The invention relates to a brain-computer interface method with additional Chinese character silent reading and exercise imagery tasks, which comprises the following steps of: acquiring electroencephalogram signals of a subject in a plurality of groups of additional Chinese character silent reading and exercise imagery tasks, taking a plurality of Chinese characters as stimulation in a single task, comprising an idle stage, a preparation stage, a prompt stage and a silent reading imagery stage; preprocessing the electroencephalogram signals, obtaining the energy of the electroencephalogram signals of the subject, and determining the optimal filtering frequency range according to the energy of the electroencephalogram signals; preprocessing the electroencephalogram signals again, and performing filtering processing on the electroencephalogram signals according to the optimal filtering frequency range in the re-preprocessing process; using the preprocessed electroencephalogram signals as electroencephalogram data samples, performing feature extraction and classification on the electroencephalogram data samples through a convolutional neural network, and using classification results for driving external equipment interacting with the brain. According to the method, an exercise imagery task normal form with additional Chinese character slient reading is provided, and the classification accuracy of the electroencephalogram signals is improved.
Brain-computer interface method with additional Chinese character silent reading and exercise imagery tasks