Fatigue driving state monitoring method

A technology for fatigue driving and state, applied in the measurement of pulse rate/heart rate, diagnostic record/measurement, medical science, etc., can solve the problems of false positives and negative negatives, complicated equipment, and long processing cycle of facial information, achieving high accuracy, Simple operation effect

Inactive Publication Date: 2019-06-07
CHANGAN UNIV
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AI Technical Summary

Problems solved by technology

These two types of early warnings will have false positives and false positives. At the same time, the equipment is too complicated, and it is necessary to install

Method used

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  • Fatigue driving state monitoring method
  • Fatigue driving state monitoring method
  • Fatigue driving state monitoring method

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] see figure 1 , the present invention comprises the following steps:

[0044] Step 1: Collect the driver's ECG data and three-axis acceleration data;

[0045] Step 2: Preprocessing the collected ECG data; performing analog-to-digital conversion on the collected acceleration information;

[0046] Step 3: The control unit performs statistical analysis based on the received ECG data to obtain heart rate and heart rate variability indicators, and the control unit calculates the hand motion coefficient according to the received triaxial acceleration information to obtain the hand motion coefficient index representing the fatigue state ;

[0047] Step 4: Use the heart rate variability index to measure the fatigue driving state of the driver. The heart rate variability index includes the time interval between two heartbeats, that is, the RR interval; the standard dev...

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Abstract

The invention discloses a fatigue driving state monitoring method. The fatigue driving state monitoring method comprises the steps of transmitting collected electrocardio data and triaxial acceleration data of hands to a control unit, performing statistics on the transmitted data by the control unit to obtain variability indexes and hand exercise coefficient indexes, constructing a fatigue forecasting model by a K-means method, inputting the heart rate and heart rate variability indexes and hand exercise coefficient into the fatigue forecasting model, and according to the output value of the fatigue forecasting model, performing grading on the fatigue forecasting result. The method is simple to operate and high in accuracy, the fatigue degree of a driver can be in real-time on-line recognition and detection, the driver can be reminded, and relevant improvement basis can be provided for the driver or handlers.

Description

technical field [0001] The invention belongs to the field of automobile safety driving auxiliary tools, and in particular relates to a fatigue driving state monitoring method. Background technique [0002] The driver is the direct operator of the vehicle, the user of the road, and the direct sensor of the traffic environment. He occupies a dominant position in the entire traffic system, and his driving behavior has a direct impact on road traffic safety. Accident data show that driver's unsafe driving behavior is the main cause of commercial vehicle accidents, and fatigue driving is the most important unsafe driving behavior. Therefore, it is of great significance to monitor and analyze the abnormal state of driver fatigue driving, and it is one of the important ways to reduce the traffic accident rate. [0003] There are three main types of existing driver fatigue driving state monitoring schemes. The first type of method is a detection method based on the driver's physio...

Claims

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Application Information

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IPC IPC(8): A61B5/00A61B5/024A61B5/0402A61B5/11
Inventor 袁伟杨国松刘彦君刘金凤王虹霞张红妮
Owner CHANGAN UNIV
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