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Driving fatigue detection method and system

A driving fatigue and detection method technology, applied in the field of driving fatigue detection methods and systems, can solve problems such as unreliable and inaccurate fatigue state assessment, and achieve the effect of improving reliability

Pending Publication Date: 2020-12-01
北京中科心研科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application solves the technical problems of inaccurate collection and processing of physiological signals and unreliable assessment of fatigue state in the prior art by providing a detection method and system for driving fatigue, and realizes the improvement of collection and processing of physiological signals. The effect of accuracy and improving the reliability of fatigue state assessment

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  • Driving fatigue detection method and system
  • Driving fatigue detection method and system
  • Driving fatigue detection method and system

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Experimental program
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Embodiment 1

[0031] such as Figure 1 As shown, the embodiment of the present application provides a method for detecting driving fatigue, wherein the method comprises:

[0032] S100, obtaining the current physiological signal of the first user;

[0033] Specifically, the first user refers to the driver who is driving, and the physiological signals are signals such as eye movement characteristics, brain wave signals, flash fusion frequency, heart rate and ECG signals, muscle signals, facial expression information, etc. The physiological signals can be obtained by wearing a multi-modal physiological data acquisition watch, which can collect the pulse signal (PPG) and skin electrical signal (GSR) of the driver. Through the portable ECG measuring device, the driver's ECG signal can be collected and the characteristics of ECG signal can be calculated, such as heart rate variability, including R-R period, high-frequency power value, low-frequency power value and low-frequency to high-frequency power...

Embodiment 2

[0089] Based on the same inventive concept as the driving fatigue detection method in the previous embodiment, the present invention also provides a driving fatigue detection system, such as Figure 9 As shown, the system includes:

[0090] A first obtaining unit 11, configured to obtain a current physiological signal of a first user;

[0091] A second obtaining unit 12, which is used for constructing a comprehensive efficiency evaluation model;

[0092] A third obtaining unit 13, configured to obtain a first fatigue index according to the current physiological signal of the first user and the comprehensive efficiency evaluation model;

[0093] The fourth obtaining unit 14 is used for constructing a real-time fatigue model;

[0094] A fifth obtaining unit 15, configured to obtain a second fatigue index according to the current physiological signal of the first user and the real-time fatigue model;

[0095] A sixth obtaining unit 16 for comparing the first fatigue index and the seco...

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Abstract

The invention discloses a driving fatigue detection method and system. The method comprises the steps: obtaining a current physiological signal of a first user; constructing a comprehensive performance evaluation model; obtaining a first fatigue index according to the current physiological signal of the first user and the comprehensive performance evaluation model; constructing a real-time fatiguemodel; obtaining a second fatigue index according to the current physiological signal of the first user and the real-time fatigue model; and comparing the first fatigue index with the second fatigueindex to obtain the driving fatigue level information of the first user, thereby achieving the effects of improving the accuracy of physiological signal acquisition and processing and improving the reliability of fatigue state evaluation.

Description

Technical field [0001] The invention relates to the field of driving state evaluation, in particular to a method and a system for detecting driving fatigue. technical background [0002] Fatigue is one of the main causes of traffic accidents. At present, the methods that can detect whether drivers are fatigued include monitoring and analyzing driving data such as steering wheel angle and lateral deviation of vehicles, or measuring and analyzing the changes of drivers' physiological characteristics by using portable measuring equipment and non-stick motor physiological signal detection technology. [0003] However, in the process of realizing the technical scheme of the invention in the embodiment of the present application, the inventor of the present application found that the above technology has at least the following technical problems: [0004] In the prior art, factors such as environmental changes and body movements interfere with physiological signals, and a single physio...

Claims

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Application Information

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IPC IPC(8): A61B5/18
CPCA61B5/18
Inventor 许子卿赵国朕
Owner 北京中科心研科技有限公司