A high-speed rail dispatcher stress detection method based on multi-physiological signal multi-model interaction

Abstract

The invention relates to a high-speed rail dispatcher stress detection method based on multi-physiological signal multi-model interaction, which adopts an electroencephalogram signal collection device, an electrocardiogram collection device, and an eye movement collection device to jointly acquire corresponding physiological signals for information collection and processing to The stress state of the tested high-speed rail dispatcher is judged. After feature selection, model training and information fusion processing, the EEG, Information fusion of ECG and eye movement recognition results to extract better EEG, ECG and eye movement recognition results, and then fuse EEG, ECG and eye movement recognition results, and finally obtain the fusion feature recognition results quickly and effectively Judging the stress state of high-speed rail dispatchers.

Description

technical field [0001] The invention relates to a stress detection method based on EEG, ECG and eye movement, in particular to a high-speed rail dispatcher stress detection method based on multi-physiological signal multi-model interaction. Background technique [0002] Over the years, after the construction of new high-speed railway lines and the high-speed transformation of existing railways, my country already has the world's largest high-speed railway network with the highest operating speed. High-speed trains run at high speed and density. Once an accident occurs, the result will be disastrous. Therefore, the absolute safety of high-speed railway operation must be guaranteed. This requires the dispatcher to be able to grasp the running status of the train and the status of various driving equipment in real time, receive all kinds of information that endangers driving safety in a timely manner, and make correct judgments and decisions, so as to effectively deal with vari...

AI Technical Summary

Problems solved by technology

However, because people often make wrong judgments and decisions in a state of stress, the so-called stress refers to the highly tense emotional state caused by unexpected urgent and dangerous situations, so the dispatcher made in the state of stress There may be potential safety hazards in dispatching. Based on this situation, the present invention relates to a stress detection method for high-speed rail dispatchers based on multi-physiological signal and multi-model interaction. Through this method, it is possible to effectively detect whether the high-speed rail dispatcher is working in a stressful state , so as to effectively prevent the dispatcher from making wrong judgments and decisions under stress

[0003] Most of the current research focuses on one physiological signal, but due to the complexity of tasks in real work, the measurement of stress response by any single physiological indicator is one-sided, and only the comprehensive use of multiple physiological indicators can accurately detect stress. reaction

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