Emergency detection method based on attention orientation and motor intention electroencephalogram

The invention discloses an emergency condition detection method based on attention orientation and motion intention electroencephalogram. The method comprises the steps that electroencephalogram signals of an operator are collected through electroencephalogram collection equipment, and signal preprocessing is carried out; according to the preprocessed electroencephalogram signals, whether attention directional generation is related to visual stimulation or not is judged, if yes, multi-angle feature extraction is conducted on the preprocessed electroencephalogram signals, and a plurality of pieces of feature information are obtained; and constructing an improved EEGNet model, and obtaining an unmanned aerial vehicle emergency condition detection result based on the plurality of pieces of feature information and the improved EEGNet model. According to the method, attention directional detection and visual detection based on electroencephalogram are fused with motion intention detection, and unmanned aerial vehi