Mental workload detection method and device

A technology of mental workload and detection method, which is applied in psychology devices, diagnostic recording/measurement, medical science, etc., can solve the problems of poor accuracy and inability to consider redundant information of different physiological signals, etc., and achieve small calculation consumption and fast detection process and accurate effect

Active Publication Date: 2021-10-12
TSINGHUA UNIV
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Problems solved by technology

[0004] The effect of the current mental load detection method based on physiological signals depends entirely on the effectiveness of artificially defined features, and manually defined features cannot consider redundant information between different physiological signals, so the accuracy of the above method is poor

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  • Mental workload detection method and device
  • Mental workload detection method and device
  • Mental workload detection method and device

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Embodiment Construction

[0015] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0016] The current mental load detection methods completely rely on the effectiveness of manually defined features. If the features cannot be defined objectively, the detection results of mental load will be affected, and the manually defined features cannot consider the redundant information between different physiological signals.

[0017] To so...

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Abstract

An embodiment of the present invention provides a mental load detection method and device, the method comprising: acquiring physiological signals of the subject to be measured; inputting the physiological signals into a preset temporal convolutional network model, and according to the temporal convolutional network model The output result is to obtain the mental load type of the subject to be tested; wherein, the physiological signal includes an EEG signal, and the temporal convolutional network model is obtained after training according to the physiological signal sample with the mental load type label. Since the physiological signal is input to the preset temporal convolutional network model, the preset temporal convolutional network model is obtained after training based on physiological signal samples with mental load type, and can output the recognition result of mental load type, so the detection process is fast It is accurate, has less calculation consumption, and can automatically remove redundant information by using the temporal convolutional network model.

Description

technical field [0001] The invention relates to the field of mental load identification, in particular to a mental load detection method and device. Background technique [0002] In the past ten years, mental workload detection has gradually become a research hotspot in academia and industry. Moderate mental load can improve work efficiency, while excessive mental load can affect human health and cause major safety accidents. Therefore, the detection of mental load is crucial to mental health. [0003] The traditional mental load test requires the subject to fill in the scale, which is too subjective and relies on the honesty of the subject. The mental load recognition method based on physiological signal measurement is of great significance. The current physiological signal fusion mental load detection method mainly includes the following steps: artificially define the characteristics of different physiological signals; use feature engineering to realize information fusio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/369A61B5/16A61B5/00A61B5/318A61B5/0205A61B5/1455A61B5/374
CPCA61B5/02A61B5/0205A61B5/02405A61B5/14551A61B5/16A61B5/7235A61B5/7267A61B5/7271
Inventor 王雪张鹏博
Owner TSINGHUA UNIV
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