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Driver Fatigue State Detection Method Using Steering Wheel Angle Information

A technology of steering wheel angle and fatigue state, applied in application, diagnostic record/measurement, medical science, etc., can solve problems such as low fatigue detection rate and insignificant fatigue characteristic indicators, and achieve convenient collection and processing, high engineering generalization The effect of high ability and detection rate

Inactive Publication Date: 2017-04-05
TSINGHUA UNIV
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Problems solved by technology

[0004] Under the support of the Open Fund Project of the National Key Laboratory of Automobile Safety and Energy Saving of Tsinghua University: "Dynamic Evolution Modeling and Robust Optimization of Fatigue Driving Behavior Based on Spatio-temporal Characteristics" (Project No.: KF14212), the present invention proposes a steering wheel angle The purpose of the information-based driver fatigue state detection method is to overcome the technical problems of the existing technology that the fatigue characteristic index of the steering wheel angle is not obvious and the fatigue detection rate is not high under the actual vehicle working conditions, and at the same time it is convenient for engineering implementation, and it can improve the performance of different drivers. High engineering generalization ability

Method used

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  • Driver Fatigue State Detection Method Using Steering Wheel Angle Information
  • Driver Fatigue State Detection Method Using Steering Wheel Angle Information
  • Driver Fatigue State Detection Method Using Steering Wheel Angle Information

Examples

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Embodiment approach

[0061] The prediction model based on the support vector machine described in step 6 is a two-level fatigue prediction model, specifically according to:

[0062] Calculation, where sgn() is a symbolic function, S j Represents the row vector of the jth row in the training sample feature matrix S, w j means S j The corresponding weight coefficient, d is the correction coefficient, n is the number of rows of the training sample feature matrix S, and the S in the formula j 、w j , d and n are all obtained by using the secondary fatigue prediction model training;

[0063] When the prediction result L is 1, the driver corresponding to the test sample is in a fatigue state;

[0064] When the prediction result L is -1, the driver corresponding to the test sample is awake.

[0065] Based on this example:

[0066] First, use the sequential minimum optimization method to solve the n-dimensional vector w satisfying the following formula;

[0067]

[0068]

[0069] Among them,...

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Abstract

The invention discloses a method for detection a fatigue status of a driver through steering wheel rotation angle information. The method comprises the first step of collecting steering wheel rotation angle data and speed data of a car in real time; the second step of performing slicing treatment for the steering wheel rotation angle data and the speed data of the car obtained from the first step; the third step of selecting effective sample data according to setting conditions; the fourth step of performing sample data compression processing; the fifth step of extracting fatigue feature index; and the sixth step of utilizing the fatigue feature index extracted from the fifth step as a test sample and performing fatigue prediction by utilizing a prediction model base on a support vector machine to obtain the fatigue status of the driver. The method has the advantages that the algorithm is simple, the data can be conveniently collected and processed, the fatigue status index of the steering wheel rotation angles under the working conditions of a real car can be effectively extracted, the fatigue status of the driver can be effectively detected, the detection rate is high, the engineering can be achieved easily, and the high engineering generalization is showed for different drivers.

Description

technical field [0001] The invention relates to the technical field of man-machine environment engineering, in particular to a driver fatigue state detection method using steering wheel angle information. Background technique [0002] Fatigue driving is one of the main causes of traffic accidents. Steering wheel angle data can reflect the driver's steering operation characteristics in real time, and at the same time, it may be obtained through a non-contact driver. Therefore, driver fatigue state detection based on steering wheel angle has become a A research hotspot of automobile safety detection. [0003] When the driver is in the state of driving fatigue, the driver's ability to perceive the environment, the ability to judge the situation, and the ability to control the vehicle will all decline, resulting in an increase in the tolerance error of the vehicle and a decrease in control accuracy, so that the vehicle control variable ( Steering wheel angle) will fluctuate abn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/18
CPCA61B5/18
Inventor 成波李作进李升波张伟王文军李仁杰贾丽娟
Owner TSINGHUA UNIV
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