Wrist strap instrument based driver fatigue detection method

A technology of driver fatigue and detection method, which is applied in the field of driver fatigue detection based on wristband instruments, can solve problems such as the disadvantage of fatigue driving monitoring, and achieve the effect of improving universality, high reliability and avoiding traffic accidents.

Inactive Publication Date: 2017-02-22
TSINGHUA UNIV
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AI Technical Summary

Problems solved by technology

[0008] Aiming at the unfavorable problem of fatigue driving monitoring existing in the prior art, the technical problem to be solved by the present invention is to provide a low-cost, easy

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  • Wrist strap instrument based driver fatigue detection method
  • Wrist strap instrument based driver fatigue detection method
  • Wrist strap instrument based driver fatigue detection method

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Embodiment Construction

[0041] In order to make the technical problems, technical solutions and advantages to be solved by the present invention clearer, the following will describe in detail with reference to the drawings and specific embodiments.

[0042] In the embodiment of the present invention, such as figure 1 The method shown is used for driver fatigue detection. Specifically include:

[0043] Step 1. Data collection steps:

[0044] The steering wheel movement signal is collected through the wristband instrument worn on the driver's wrist, and the vehicle speed signal is collected. In one embodiment of the present invention, an acceleration sensor is provided in the wristband instrument to collect the acceleration signal of the steering wheel movement; then the vehicle speed information is collected through the bluetooth device.

[0045] Step 2, data preprocessing steps:

[0046] The steering wheel angular velocity signal is obtained according to the obtained steering wheel motion signal. S...

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Abstract

The invention provides a wrist strap instrument based driver fatigue detection method. The method includes: acquiring a steering wheel rotational angular velocity signal; computing fatigue feature indexes according to the steering wheel rotational angular velocity signal, wherein the fatigue feature indexes at least include steering wheel rotational angular velocity average, steering wheel rotational angular velocity standard deviation, steering wheel rotational angular velocity first moment, steering wheel rotational angular velocity maximum value, steering wheel rotational angular velocity quartile and steering wheel rotational angular velocity average larger than 75% fractile as well as steering wheel immobility times, steering wheel continuous immobility time and steering wheel reciprocating correction frequency; optimizing the extracted fatigue feature indexes so as to screen an optimal index subset from a fatigue judgement index universal set; using the optimal index subset as input to build an SVM (support vector machine) based fatigue detection model for fatigue detection.

Description

technical field [0001] The invention relates to the technical field of sensors, in particular to a driver fatigue detection method based on a wristband instrument. Background technique [0002] Since the emergence of sensor technology, it has become the basis of automatic control and other fields. It is the "eye" of all control machinery, and all intelligent control needs to rely on sensor technology. Take the environment perception system as an example, which is the basis of Advanced Driver Assistance System (Advanced Automotive Driving System, ADAS), smart cars and driverless cars. At present, the main method of environment perception is to perceive the environment through sensor systems such as overhead rotating lidar, lidar, millimeter wave radar, camera, ultrasonic sensor, etc., especially to locate and track static and dynamic objects in the environment. [0003] With the rapid development of the automobile industry in modern society, whether it is a family car or a l...

Claims

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Application Information

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IPC IPC(8): G08B21/06
CPCG08B21/06
Inventor 李升波成波贾丽娟王文军李仁杰张超飞张伟
Owner TSINGHUA UNIV
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