A Fatigue Driving Detection Method Fusion of ECG Signal and Steering Wheel Pressure

A technology of electrocardiogram and fatigue driving, which is applied in diagnostic recording/measurement, medical science, instruments, etc., to achieve the effect of avoiding misjudgment, reasonable and accurate detection

Inactive Publication Date: 2017-08-11
JIANGSU ZHIHAI ELECTRONICS TECH
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Problems solved by technology

[0003] Aiming at the limitations of the fatigue driving monitoring method with a single fatigue detection index at present, the present invention proposes a more scientific and accurate monitoring method with less false positives for the fusion parameter index of heart rate parameters and steering wheel pressure parameters

Method used

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  • A Fatigue Driving Detection Method Fusion of ECG Signal and Steering Wheel Pressure
  • A Fatigue Driving Detection Method Fusion of ECG Signal and Steering Wheel Pressure
  • A Fatigue Driving Detection Method Fusion of ECG Signal and Steering Wheel Pressure

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Embodiment Construction

[0032] A fatigue driving detection method that combines electrocardiogram signals and hand-held steering wheel pressure includes the steps of establishing a fatigue detection model and fatigue driving alarm.

[0033] Such as figure 1 The steps to establish the fatigue detection model are as follows:

[0034] 1.1 Collect the driver's ECG signal and the pressure signal of the steering wheel, and filter the signal;

[0035] 1.2 Import the ECG signal and the steering wheel pressure signal data into the fatigue equation to draw the fatigue curve;

[0036] 1.3 Establish a fatigue detection model based on the driver's actual fatigue state and fatigue curve.

[0037] Such as figure 2 The fatigue driving alarm steps shown are:

[0038] 2.1 Collect the driver's ECG signal and the pressure signal of the steering wheel, and filter the signal;

[0039] 2.2 Import the ECG signal and hand-held steering wheel pressure signal data into the fatigue equation, and compare it with the establ...

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Abstract

The invention discloses a fatigue driving detection method of fusing an electrocardiosignal and steering wheel holding pressure. The method comprises the following steps of a, carrying out electrocardiosignal acquisition and steering wheel holding pressure signal acquisition; b, establishing a fatigue evaluation fusion algorithm according to steering wheel holding pressure conversion and a heart rate variability characteristic; c, determining whether a driver carries out fatigue driving through introducing the collected electrocardiosignal and the steering wheel holding pressure signal into the fatigue evaluation algorithm in the step b. By using the detection method, through monitoring an autologous physiological signal of the driver and the steering wheel holding pressure, driving sober and fatigue states can be directly and accurately determined. In the invention, the real-time electrocardiosignal of the driver is collected and hand grip force data is acquired in real time; the two groups of data are introduced into a fatigue driving index fusion equation and an equation curve is drawn, real-time evaluation of a driver fatigue state is performed comparing with a fatigue driving reference evaluation table. By using the method, detection to fatigue driving is reasonable and accurate so that misjudgement of the fatigue driving is avoided.

Description

technical field [0001] The invention relates to the field of automobile driving safety, in particular to a fatigue driving detection method which integrates electrocardiogram signals and hand-held steering wheel pressure. Background technique [0002] In recent years, with the rapid increase in the number of car ownership and motor vehicle drivers, the issue of road traffic safety has become a social focus. Fatigue driving is the main cause of serious traffic accidents. Therefore, it is of great significance to study the detection of driving fatigue for accident prevention and improvement of traffic safety. There are many reasons for driving fatigue, the most common ones are monotonous environment, long driving time, lack of sleep and so on. Several studies have assessed fatigue using subjective measures and mental tests, such as reaction time, attention span, and sleep scales. In the research in recent years, driving fatigue detection tends to choose more objective metho...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08B21/06A61B5/0245
CPCA61B5/02455G08B21/06
Inventor 吴健康管仲达戴仲升韩禹顾冬冬
Owner JIANGSU ZHIHAI ELECTRONICS TECH
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