Brain-computer aided analysis method and system for aviation accident

A brain-computer aided analysis system for an aviation accident, comprising:

• an obtaining module, configured to obtain historical EEG signals and historical psychological and physiological features of various pilots during flight to be recorded as first EEG signals and first features;
• a training module, configured to train a feature recognition model by using the first EEG signals as an input and the first features as an output;
• a recognition module, configured to input EEG signals of a pilot of an aviation accident aircraft into the feature recognition model, and output psychological and physiological features of the pilot of the aviation accident aircraft to be recorded as second features;
• a determining module, configured to determine whether the second features are abnormal or not according to the historical psychological and physiological features of the pilot of the aviation accident aircraft and the first features;
• a first analysis module, configured to analyze causes of the aviation accident for the pilot of the aviation accident aircraft if the second features are abnormal;
• a simulation reproduction module, configured to perform accident simulation reproduction according to the second features to obtain reproduced accident information if the second features are not abnormal;
• and
• a second analysis module, configured to analyze the causes of the aviation accident according to the reproduced accident information.