Fatigue detection model construction method, fatigue detection method, device and equipment

Abstract

The invention discloses a fatigue detection model construction method, a fatigue detection method, a fatigue detection device and fatigue detection equipment. The fatigue detection model construction method comprises the following steps: acquiring a training data set and a test data set; wherein each data sample in the training data set and the test data set comprises various modal signals; mapping training samples in the training data set and test samples in the test data set to the same feature space by adopting a domain adaptation method in transfer learning to obtain a processed data set; constructing an initial fatigue detection model based on the domain adversarial migration network; and training the initial fatigue detection model by using the processing data set to obtain a final fatigue detection model. According to the method, the difference of physiological signal data distribution among different data samples is overcome by utilizing a domain adaptation method in transfer learning, and the fatigue detection model which has high generalization performance and is more accurate is established.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a fatigue detection model construction method, fatigue detection method, device and equipment. Background technique [0002] Power grid personnel working at heights is a typical type of high-altitude operations. If fatigued power grid personnel continue to work at heights, it will not only affect their work efficiency, but even cause production safety accidents. Therefore, as a measure to actively prevent accidents, fatigue detection has important social significance and practical value. [0003] Commonly used fatigue detection methods can be divided into subjective detection methods and objective detection methods; Among them, subjective detection methods mainly use subjective self-evaluation or the introduction of questionnaire investigators to judge the current fatigue state of the tested personnel, but this method can neither obtain It is also difficult to directly apply t...

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Problems solved by technology

[0003] Commonly used fatigue detection methods can be divided into subjective detection methods and objective detection methods; Among them, subjective detection methods mainly use subjective self-evaluation or the introduction of questionnaire investigators to judge the current fatigue state of the tested personnel, but this method can neither obtain Objective and accurate state judgment results are also difficult to be directly applied to the fatigue detection of high-altitude workers

Another objective detection method is to detect the current fatigue state of the subject through the EEG signal. The data distribution of the EEG signals collected by different people is different. Therefore, when directly using the data with large distribution differences to construct the fatigue detection model, the obtained model not only has poor generalization performance, but also the output detection results are accurate. degree is also lower

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